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Machine learning 1-68(1), 70(1), 72 [1986-2009, PDF, ENG]

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Volume 01

00 - Editorial. On Machine Learning.pdf	PDF	331.51 KB
01 - Chunking in Soar. The Anatomy of a General Learning Mechanism.pdf	PDF	2.28 MB
02 - Explanation-Based Generalization. A Unifying View.pdf	PDF	2.06 MB
03 - Induction of Decision Trees.pdf	PDF	1.31 MB
04 - A Theory of Historical Discovery. The Construction of Componential Models.pdf	PDF	1.48 MB

00 - Editorial. The Terminology of Machine Learning.pdf	PDF	189.2 KB
01 - Explanation-Based Learning. An Alternative View.pdf	PDF	1.76 MB
02 - A General Framework for Induction and a Study of Selective Induction.pdf	PDF	2.56 MB
03 - News and Notes.pdf	PDF	854.2 KB

00 - Editorial. Human and Machine Learning.pdf	PDF	259.62 KB
01 - Experimental Goal Regression. A Method for Learning Problem-Solving Heuristics.pdf	PDF	1.37 MB
02 - Learning at the Knowledge Level.pdf	PDF	1.32 MB
03 - Incremental Learning from Noisy Data.pdf	PDF	1.69 MB
04 - News and Notes.pdf	PDF	178.21 KB

00 - Editorial. Machine Learning and Discovery.pdf	PDF	196.06 KB
01 - Integrating Quantitative and Qualitative Discovery. The ABACUS System.pdf	PDF	1.64 MB
02 - Determining Arguments of Invariant Functional Descriptions.pdf	PDF	950.71 KB
03 - Chemical Discovery as Belief Revision.pdf	PDF	1.28 MB
04 - News and Notes.pdf	PDF	68.18 KB

Volume 02

00 - Machine Learning and Grammar Induction.pdf	PDF	202.76 KB
01- Learning Syntax by Automata Induction.pdf	PDF	1.17 MB
02 - A Version Space Approach to Learning Context-free Grammars.pdf	PDF	1.59 MB
03 - News and Notes.pdf	PDF	1.15 MB

00 - Machine learning and concept formation.pdf	PDF	179.77 KB
01 - Experiments with incremental concept formation. UNIMEM.pdf	PDF	1.37 MB
02 - Knowledge acquisition via incremental conceptual clustering.pdf	PDF	1.29 MB
03 - A review of the fourth International Workshop on Machine Learning.pdf	PDF	886.12 KB
04 - News and notes.pdf	PDF	84.33 KB

00 - Research papers in machine learning.pdf	PDF	184.89 KB
01 - Classifier systems and the animat problem.pdf	PDF	1.24 MB
02 - Learning decision lists.pdf	PDF	718.86 KB
03 - Theory change via view application in instructionless learning.pdf	PDF	1.41 MB
04 - News and notes.pdf	PDF	76.11 KB
05 - Announcement.pdf	PDF	29.31 KB

00 - New theoretical directions in machine learning.pdf	PDF	152.25 KB
01 - Learning quickly when irrelevant attributes abound. A new linear-threshold algorithm.pdf	PDF	1.35 MB
02 - Queries and concept learning.pdf	PDF	1017.25 KB
03 - Learning from noisy examples.pdf	PDF	1.08 MB
04 - Criteria for polynomial-time (conceptual) clustering.pdf	PDF	1.09 MB
05 - News and notes.pdf	PDF	96.18 KB
06 - Announcing a new journal.pdf	PDF	64.13 KB

Volume 03

00 - Machine learning as an experimental science.pdf	PDF	202.15 KB
01 - Learning to predict by the methods of temporal differences.pdf	PDF	1.5 MB
02 - Learning by failing to explain. Using partial explanations to learn in incomplete or intractable domains.pdf	PDF	1.3 MB
03 - A review of machine learning at AAAI-87.pdf	PDF	651.46 KB

#2-3

00 - Genetic algorithms and Machine Learning.pdf	PDF	226.42 KB
01 - Genetic algorithms in noisy environments.pdf	PDF	937.9 KB
02 - Learning with genetic algorithms. An overview.pdf	PDF	834.03 KB
03 - A tale of two classifier systems.pdf	PDF	910.13 KB
04 - Classifier systems that learn internal world models.pdf	PDF	1.38 MB
05 - Learning and programming in classifier systems.pdf	PDF	1.35 MB
06 - Credit assignment in rule discovery systems based on genetic algorithms.pdf	PDF	892.88 KB
07 - News and notes.pdf	PDF	107.37 KB

00 - Toward a unified science of machine learning.pdf	PDF	379.35 KB
01 - The CN2 induction algorithm.pdf	PDF	1.02 MB
02 - A heuristic approach to the discovery of macro-operators.pdf	PDF	1.35 MB
03 - An empirical comparison of selection measures for decision-tree induction.pdf	PDF	1008.47 KB
04 - Conceptual clustering, categorization, and polymorphy.pdf	PDF	1.35 MB
05 - News and notes.pdf	PDF	144.22 KB
06 - Erratum.pdf	PDF	25.5 KB

Volume 04

00 - Editorial.pdf	PDF	100.16 KB
01 - Learning conjunctive concepts in structural domains.pdf	PDF	1.41 MB
02 - Semi-supervised learning.pdf	PDF	999.31 KB
03 - On learning sets and functions.pdf	PDF	1.21 MB
04 - Efficient specialization of relational concepts.pdf	PDF	344.08 KB
05 - News and notes.pdf	PDF	120.1 KB

00 - Editorial.pdf	PDF	120.87 KB
01 - LT Revisited. Explanation-Based Learning and the Logic of Principia Mathematica.pdf	PDF	2.46 MB
02 - Incremental Induction of Decision Trees.pdf	PDF	1.11 MB
03 - A Study of Explanation-Based Methods for Inductive Learning.pdf	PDF	1.84 MB
04 - An Empirical Comparison of Pruning Methods for Decision Tree Induction.pdf	PDF	794.29 KB

#3-4

00 - Introduction. A sampler in knowledge acquisition for the machine learning community.pdf	PDF	128.69 KB
01 - Can machine learning offer anything to expert systems.pdf	PDF	188.06 KB
02 - When will machines learn.pdf	PDF	134.92 KB
03 - Supporting start-to-finish development of knowledge bases.pdf	PDF	1.07 MB
04 - The knowledge level reinterpreted. Modeling how systems interact.pdf	PDF	348.82 KB
05 - Automated knowledge acquisition for strategic knowledge.pdf	PDF	2.04 MB
06 - The world would be a better place if non-programmers could program.pdf	PDF	92.06 KB
07 - Task-structures, knowledge acquisition and learning.pdf	PDF	297.58 KB
08 - Automated support for building and extending expert models.pdf	PDF	1.46 MB
09 - Knowledge acquisition for knowledge-based systems. Notes on the state-of-the-art.pdf	PDF	786.69 KB

Volume 05

00 - Editorial Exploratory research in machine learning.pdf	PDF	227.25 KB
01 - Extending domain theories. Two case studies in student modeling.pdf	PDF	1.07 MB
02 - Acquiring recursive and iterative concepts with explanation-based learning.pdf	PDF	1.48 MB
03 - Boolean feature discovery in empirical learning.pdf	PDF	1.08 MB
04 - A necessary condition for learning from positive examples.pdf	PDF	424.57 KB
05 - Announcements.pdf	PDF	35.76 KB

00 - Introduction. Special issue on computational learning theory.pdf	PDF	218.61 KB
01 - Negative results for equivalence queries.pdf	PDF	1.09 MB
02 - Polynomial time learnability of simple deterministic languages.pdf	PDF	551.06 KB
03 - Learning nested differences of intersection-closed concept classes.pdf	PDF	1.33 MB
04 - The strength of weak learnability.pdf	PDF	1.28 MB
05 - Errata.pdf	PDF	17.77 KB

00 - Editorial advice to Machine Learning authors.pdf	PDF	198.18 KB
01 - Learning logical definitions from relations.pdf	PDF	1.09 MB
02 - Empirical learning as a function of concept character.pdf	PDF	1.35 MB
03 - The problem of expensive chunks and its solution by restricting expressiveness.pdf	PDF	2.2 MB

00 - Introduction.pdf	PDF	135.85 KB
01 - Learning sequential decision rules using simulation models and competition.pdf	PDF	1.08 MB
02 - CSM. A computational model of cumulative learning.pdf	PDF	1.01 MB
03 - Probability matching, the magnitude of reinforcement, and classifier system bidding.pdf	PDF	756.54 KB
04 - Empirical learning using rule threshold optimization for detection of events in synthetic images.pdf	PDF	989.89 KB
05 - Call for papers for ICGA-91.pdf	PDF	45.22 KB

Volume 06

00 - Editorial.pdf	PDF	63.48 KB
01 - Rigel. An Inductive Learning System.pdf	PDF	1.67 MB
02 - Instance-Based Learning Algorithms.pdf	PDF	1.46 MB
03 - Information-Based Evaluation Criterion for Classifier's Performance.pdf	PDF	631.63 KB
04 - A Distance-Based Attribute Selection Measure for Decision Tree Induction.pdf	PDF	372.37 KB
05 - Improved Estimates for the Accuracy of Small Disjuncts.pdf	PDF	279.58 KB
06 - Book Review. Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989.pdf	PDF	242.14 KB
07 - A Reply To Reich's Book Review of Exemplar-Based Knowledge Acquisition.pdf	PDF	97 KB

00 - Symbolic and neural learning algorithms. An experimental comparison.pdf	PDF	1.43 MB
01 - A PAC algorithm for making feature maps.pdf	PDF	703.91 KB
02 - Learning search control knowledge. An explanation-based approach.pdf	PDF	418.4 KB
02 - Letter recognition using Holland-style adaptive classifiers.pdf	PDF	1 MB
03 - A critical look at experimental evaluations of EBL.pdf	PDF	592.62 KB
04 - A reply to Zito-Wolf's book review ofLearning search control knowledge. An explanation-based approach.pdf	PDF	98.06 KB

00 - Complexity Results on Learning by Neural Nets.pdf	PDF	735.59 KB
01 - The Use of Background Knowledge in Decision Tree Induction.pdf	PDF	670.11 KB
02 - A Nearest Hyperrectangle Learning Method.pdf	PDF	1.2 MB
03 - Conflict Resolution as Discovery in Particle Physics.pdf	PDF	1.45 MB

Volume 07

00 - Editorial.pdf	PDF	41.26 KB
01 - An incremental deductive strategy for controlling constructive induction in learning from examples.pdf	PDF	1.85 MB
02 - Learning to perceive and act by trial and error.pdf	PDF	1.66 MB
03 - Learning to predict non-deterministically generated strings.pdf	PDF	615.49 KB

#2-3

00 - Introduction.pdf	PDF	165.96 KB
01 - Learning Automata from Ordered Examples.pdf	PDF	1.84 MB
02 - SLUG. A Connectionist Architecture for Inferring the Structure of Finite-State Environments.pdf	PDF	1.67 MB
03 - Graded State Machines. The Representation of Temporal Contingencies in Simple Recurrent Networks.pdf	PDF	2.17 MB
04 - Distributed Representations, Simple Recurrent Networks, And Grammatical Structure.pdf	PDF	1.75 MB
05 - The Induction of Dynamical Recognizers.pdf	PDF	2.3 MB

Volume 08

00 - Learning Two-Tiered Descriptions of Flexible Concepts. The POSEIDON System.pdf	PDF	2 MB
01 - Implementing Valiant's Learnability Theory Using Random Sets.pdf	PDF	1.31 MB
02 - A Further Comparison of Splitting Rules for Decision-Tree Induction.pdf	PDF	495.95 KB
03 - On the Handling of Continuous-Valued Attributes in Decision Tree Generation.pdf	PDF	820.95 KB

00 - Editorial.pdf	PDF	49.36 KB
01 - Interactive concept-learning and constructive induction by analogy.pdf	PDF	1.79 MB
02 - Learning probabilistic automata and Markov chains via queries.pdf	PDF	689.21 KB
03 - Abductive explanation-based learning. A solution to the multiple inconsistent explanation problem.pdf	PDF	2.29 MB
04 - Announcement.pdf	PDF	33.83 KB

#3-4

00 - Introduction. The Challenge of Reinforcement Learning.pdf	PDF	158.94 KB
01 - Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning.pdf	PDF	1.1 MB
02 - Practical Issues in Temporal Difference Learning.pdf	PDF	1.56 MB
03 - Technical Note. Q-Learning.pdf	PDF	516.24 KB
04 - Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching.pdf	PDF	1.31 MB
05 - Transfer of Learning by Composing Solutions of Elemental Sequential Tasks.pdf	PDF	929.96 KB
06 - The Convergence of TD(lambda) for General lambda.pdf	PDF	747.31 KB
07 - A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments.pdf	PDF	2.17 MB

Volume 09

00 - Machine Learning. A Maturing Field.pdf	PDF	167.94 KB
01 - Dynamic Parameter Encoding for Genetic Algorithms.pdf	PDF	705.28 KB
02 - Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization.pdf	PDF	1.41 MB
03 - The Utility of Knowledge in Inductive Learning.pdf	PDF	1.67 MB
04 - Book Review. Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA. MIT Press, 1990.pdf	PDF	193.09 KB
05 - A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning.pdf	PDF	66.28 KB

#2-3

00 - Introduction.pdf	PDF	195.4 KB
01 - Lower Bound Methods and Separation Results for On-Line Learning Models.pdf	PDF	1.72 MB
02 - Learning Conjunctions of Horn Clauses.pdf	PDF	807.43 KB
03 - A Learning Criterion for Stochastic Rules.pdf	PDF	1.61 MB
04 - On the Computational Complexity of Approximating Distributions by Probabilistic Automata.pdf	PDF	1.92 MB
05 - A Universal Method of Scientific Inquiry.pdf	PDF	466.03 KB

00 - Explorations of an Incremental, Bayesian Algorithm for Categorization.pdf	PDF	1.61 MB
01 - A Bayesian Method for the Induction of Probabilistic Networks from Data.pdf	PDF	1.76 MB
02 - A Framework for Average Case Analysis of Conjunctive Learning Algorithms.pdf	PDF	1.22 MB
03 - Learning Boolean Functions in an Infinite Attribute Space.pdf	PDF	649.99 KB
04 - Technical Note. First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem.pdf	PDF	101.65 KB

Volume 10

00 - Editorial.pdf	PDF	41.66 KB
01 - Synthesis of UNIX Programs Using Derivational Analogy.pdf	PDF	2.63 MB
02 - A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features.pdf	PDF	1.1 MB
03 - Induction Over the Unexplained. Using Overly-General Domain Theories to Aid Concept Learning.pdf	PDF	1.93 MB

00 - Information filtering. Selection mechanisms in learning systems.pdf	PDF	1.85 MB
01 - Overfitting avoidance as bias.pdf	PDF	1.35 MB
02 - Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ. Lawrence Erlbaum, 1990.pdf	PDF	271.58 KB
03 - A reply to Cohen's book review of Creating a Memory of Causal Relationships.pdf	PDF	303.49 KB

00 - Introduction.pdf	PDF	272.96 KB
01 - Indexing, Elaboration and Refinement. Incremental Learning of Explanatory Cases.pdf	PDF	2.8 MB
02 - Derivational Analogy in PRODIGY. Automating Case Acquisition, Storage, and Utilization.pdf	PDF	1.63 MB
03 - Opportunism and Learning.pdf	PDF	1.69 MB
04 - Integrating Feature Extraction and Memory Search.pdf	PDF	1.52 MB
05 - Wastewater Treatment Systems from Case–Based Reasoning.pdf	PDF	923.31 KB

Volume 11

00 - Coding Decision Trees.pdf	PDF	669.99 KB
01 - Active Learning Using Arbitrary Binary Valued Queries.pdf	PDF	666.77 KB
02 - Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees.pdf	PDF	1022.59 KB
03 - Very Simple Classification Rules Perform Well on Most Commonly Used Datasets.pdf	PDF	1.22 MB
04 - An Analysis of the WITT Algorithm.pdf	PDF	469.54 KB

#2-3

00 - Introduction.pdf	PDF	77.77 KB
01 - Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.pdf	PDF	2.17 MB
03 - Multistrategy Learning and Theory Revision.pdf	PDF	1.03 MB
04 - Learning Causal Patterns. Making a Transition from Data-Driven to Theory-Driven Learning.pdf	PDF	1.08 MB
05 - Using Knowledge-Based Neural Networks to Improve Algorithms. Refining the Chou–Fasman Algorithm for Protein Folding.pdf	PDF	1.31 MB
06 - Balanced Cooperative Modeling.pdf	PDF	1.46 MB
07 - Plausible Justification Trees. A Framework for Deep and Dynamic Integration of Learning Strategies.pdf	PDF	1.04 MB

Volume 12

#1-3

00 - Introduction. Cognitive autonomy in machine discovery.pdf	PDF	532.46 KB
01 - An integrated framework for empirical discovery.pdf	PDF	1.51 MB
02 - Experience selection and problem choice in an exploratory learning system.pdf	PDF	860.64 KB
03 - Discovery by Minimal Length Encoding. A case study in molecular evolution.pdf	PDF	854.1 KB
04 - Design methods for scientific hypothesis formation and their application to molecular biology.pdf	PDF	1.33 MB
05 - Machine discovery of effective admissible heuristics.pdf	PDF	1.15 MB
06 - Discovery as autonomous learning from the environment.pdf	PDF	1.04 MB
07 - Bivariate scientific function finding in a sampled, real-data testbed.pdf	PDF	747.5 KB
08 - The design of discrimination experiments.pdf	PDF	886.92 KB
09 - Publisher's note.pdf	PDF	23.32 KB

Volume 13

00 - Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics.pdf	PDF	1.55 MB
01 - Explanation-Based Learning for Diagnosis.pdf	PDF	1.46 MB
02 - Extracting Refined Rules from Knowledge-Based Neural Networks.pdf	PDF	1.64 MB
03 - Prioritized Sweeping. Reinforcement Learning with Less Data and Less Time.pdf	PDF	1.91 MB
04 - Technical Note. Selecting a Classification Method by Cross-Validation.pdf	PDF	461.85 KB
05 - Book Review Machine Learning. A Theoretical Approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991.pdf	PDF	277.14 KB
06 - A Reply to Hellerstein's Book Review of Machine Learning. A Theoretical Approach.pdf	PDF	82.56 KB

#2-3

00 - Introduction.pdf	PDF	220.16 KB
01 - Using Genetic Algorithms for Concept Learning.pdf	PDF	1.26 MB
02 - A Knowledge-Intensive Genetic Algorithm for Supervised Learning.pdf	PDF	2.49 MB
03 - Competition-Based Induction of Decision Models from Examples.pdf	PDF	1.46 MB
04 - Genetic Reinforcement Learning for Neurocontrol Problems.pdf	PDF	1.73 MB
05 - What Makes a Problem Hard for a Genetic Algorithm Some Anomalous Results and Their Explanation.pdf	PDF	1.99 MB

Volume 14

00 - Foreword.pdf	PDF	42.25 KB
01 - Randomly Fallible Teachers. Learning Monotone DNF with an Incomplete Membership Oracle.pdf	PDF	862.26 KB
02 - Tracking Drifting Concepts By Minimizing Disagreements.pdf	PDF	779.97 KB
03 - Learning Probabilistic Read-once Formulas on Product Distributions.pdf	PDF	1.29 MB
04 - Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.pdf	PDF	1.28 MB
05 - Approximation and Estimation Bounds for Artificial Neural Networks.pdf	PDF	861.06 KB

00 - Guest Editorial.pdf	PDF	106.5 KB
01 - Hypothesis-Driven Constructive Induction in AQ17-HCI. A Method and Experiments.pdf	PDF	2.63 MB
02 - Concept Formation During Interactive Theory Revision.pdf	PDF	1.21 MB
03 - A Polynomial Approach to the Constructive Induction of Structural Knowledge.pdf	PDF	1.18 MB
04 - Flattening and Saturation. Two Representation Changes for Generalization.pdf	PDF	618.33 KB
05 - Explicit Representation of Concept Negation.pdf	PDF	534.51 KB

00 - Algorithms and lower bounds for on-line learning of geometrical concepts.pdf	PDF	781.86 KB
01 - The power of self-directed learning.pdf	PDF	1.03 MB
02 - TD(lambda) converges with probability 1.pdf	PDF	297.14 KB
03 - Introduction to the abstracts of the invited talks presented at ML92 conference in Aberdeen, 1–3 July 1992.pdf	PDF	44.06 KB
04 - Machine learning and qualitative reasoning.pdf	PDF	372.08 KB
05 - Children, adults, and machines as discovery systems.pdf	PDF	341.85 KB
06 - Combining symbolic and neural learning.pdf	PDF	519.63 KB
07 - Statistical methods for analyzing speedup learning experiments.pdf	PDF	782.95 KB

Volume 15

00 - Incremental Abductive EBL.pdf	PDF	1.04 MB
01 - The Importance of Attribute Selection Measures in Decision Tree Induction.pdf	PDF	792.25 KB
02 - Discrete Sequence Prediction and Its Applications.pdf	PDF	1.32 MB
03 - On-Line Learning from Search Failures.pdf	PDF	2.35 MB

00 - Introduction. Structured Connectionist Systems.pdf	PDF	134.09 KB
01 - Neural Network-Based Vision for Precise Control of a Walking Robot.pdf	PDF	1.18 MB
02 - Using Neural Networks to Modularize Software.pdf	PDF	1.41 MB
03 - Higher-Order Neural Networks Applied to 2D and 3D Object Recognition.pdf	PDF	2.05 MB
04 - Improving Generalization with Active Learning.pdf	PDF	1.16 MB

00 - Trading accuracy for simplicity in decision trees.pdf	PDF	1.12 MB
01 - Toward an ideal trainer.pdf	PDF	1.29 MB
02 - Associative reinforcement learning. Functions in k-DNF.pdf	PDF	834.12 KB
03 - Associative reinforcement learning. A generate and test algorithm.pdf	PDF	863.13 KB
04 - Bias in information-based measures in decision tree induction.pdf	PDF	365.67 KB

Volume 16

#1-2

00 - Editorial. New Editorial Board Members.pdf	PDF	62.91 KB
01 - Guest Editor's Introduction.pdf	PDF	119.94 KB
02 - Acquisition of Children's Addition Strategies. A Model of Impasse-Free, Knowledge-Level Learning.pdf	PDF	1.35 MB
03 - Case-Based Learning. Predictive Features in Indexing.pdf	PDF	1.02 MB
04 - Modeling Cognitive Development on Balance Scale Phenomena.pdf	PDF	1.71 MB
05 - Simulating the Child's Acquisition of the Lexicon and Syntax - Experiences With Babel.pdf	PDF	1.75 MB
06 - Acquiring and Combining Overlapping Concepts.pdf	PDF	1.74 MB

00 - Learning nonoverlapping perceptron networks from examples and membership queries.pdf	PDF	1.02 MB
01 - Asynchronous stochastic approximation and Q-learning.pdf	PDF	685.61 KB
02 - Complexity-based induction.pdf	PDF	881.24 KB
03 - An upper bound on the loss from approximate optimal-value functions.pdf	PDF	261.47 KB
04 - C4.5. Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993.pdf	PDF	305.25 KB

Volume 17

00 - Generalizing Version Spaces.pdf	PDF	1.92 MB
01 - Algebraic Reasoning about Reactions. Discovery of Conserved Properties in Particle Physics.pdf	PDF	931.88 KB
02 - Quantifying Prior Determination Knowledge Using the PAC Learning Model.pdf	PDF	1.51 MB

#2-3

00 - Guest editor's introduction.pdf	PDF	198.02 KB
01 - Toward efficient agnostic learning.pdf	PDF	1.22 MB
02 - A theory for memory-based learning.pdf	PDF	897.39 KB
03 - The learnability of description logics with equality constraints.pdf	PDF	1.31 MB
04 - On-line learning of rectangles and unions of rectangles.pdf	PDF	989.68 KB

Volume 18

00 - A Branch and Bound Incremental Conceptual Clusterer.pdf	PDF	922.9 KB
01 - Probably Almost Discriminative Learning.pdf	PDF	1.14 MB
02 - A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping.pdf	PDF	1.14 MB
03 - Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.pdf	PDF	1.41 MB
04 - Classification Accuracy. Machine Learning vs. Explicit Knowledge Acquisition.pdf	PDF	292.53 KB
05 - Book Review. Neural Network Perception For Mobile Robot Guidanceby Dean A. Pomerleau. Kluwer Academic Publishers, 1993.pdf	PDF	254.81 KB
06 - A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance.pdf	PDF	84.83 KB

#2-3

00 - Guest Editor's Introduction.pdf	PDF	174.89 KB
01 - Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers.pdf	PDF	843.18 KB
02 - Learning Fallible Deterministic Finite Automata.pdf	PDF	1.57 MB
03 - On the Complexity of Function Learning.pdf	PDF	1.79 MB
04 - Piecemeal Learning of an Unknown Environment.pdf	PDF	1.8 MB
05 - Learning from a Population of Hypotheses.pdf	PDF	994.82 KB

Volume 19

00 - An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.pdf	PDF	1.7 MB
01 - Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.pdf	PDF	728.48 KB
02 - Multivariate Decision Trees.pdf	PDF	1.58 MB
03 - Encouraging Experimental Results on Learning CNF.pdf	PDF	1.01 MB

00 - Automated Refinement of First-Order Horn-Clause Domain Theories.pdf	PDF	1.64 MB
01 - Comprehension Grammars Generated from Machine Learning of Natural Languages.pdf	PDF	859.25 KB
02 - On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata.pdf	PDF	1.06 MB

00 - On the Learnability of Disjunctive Normal Form Formulas.pdf	PDF	1.21 MB
01 - ALECSYS and the AutonoMouse. Learning to Control a Real Robot by Distributed Classifier Systems.pdf	PDF	2.31 MB
02 - On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.pdf	PDF	939.08 KB

Volume 20

#1-2

00 - Evaluation and Selection of Biases in Machine Learning.pdf	PDF	957.76 KB
01 - Technical Note. Bias and the Quantification of Stability.pdf	PDF	603.95 KB
02 - Inductive Policy. The Pragmatics of Bias Selection.pdf	PDF	1.72 MB
03 - Recursive Automatic Bias Selection for Classifier Construction.pdf	PDF	1.71 MB
04 - The Appropriateness of Predicate Invention as Bias Shift Operation in ILP.pdf	PDF	1.21 MB
05 - Declarative Bias for Specific-to-General ILP Systems.pdf	PDF	1.47 MB
06 - Shifting Vocabulary Bias in Speedup Learning.pdf	PDF	1.89 MB

00 - Learning Bayesian Networks. The Combination of Knowledge and Statistical Data.pdf	PDF	2.15 MB
01 - Learning Binary Relations Using Weighted Majority Voting.pdf	PDF	1.17 MB
02 - Support-Vector Networks.pdf	PDF	1.32 MB

Volume 21

#1-2

00 - Introduction.pdf	PDF	239.53 KB
01 - Genetic Algorithms, Operators, and DNA Fragment Assembly.pdf	PDF	1.11 MB
02 - Discovering Dependencies via Algorithmic Mutual Information. A Case Study in DNA Sequence Comparisons.pdf	PDF	656.06 KB
03 - Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.pdf	PDF	1.18 MB
04 - DEXTER. A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration.pdf	PDF	1.07 MB
05 - Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes.pdf	PDF	996.14 KB
06 - Machine Discovery of Protein Motifs.pdf	PDF	1.17 MB
07 - Searching for Representations to Improve Protein Sequence Fold-Class Prediction.pdf	PDF	1.29 MB
08 - Neural Networks for Full-Scale Protein Sequence Classification. Sequence Encoding with Singular Value Decomposition.pdf	PDF	1012.99 KB

00 - The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.pdf	PDF	2.04 MB
01 - An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.pdf	PDF	1.59 MB
02 - Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.pdf	PDF	1.71 MB

Volume 22

#1-3

00 - Editorial.pdf	PDF	84.28 KB
01 - Introduction.pdf	PDF	139.14 KB
02 - Efficient reinforcement learning through symbiotic evolution.pdf	PDF	984.26 KB
03 - Linear Least-Squares algorithms for temporal difference learning.pdf	PDF	921.59 KB
04 - Feature-based methods for large scale dynamic programming.pdf	PDF	1.38 MB
05 - On the worst-case analysis of temporal-difference learning algorithms.pdf	PDF	898.2 KB
06 - Reinforcement learning with replacing eligibility traces.pdf	PDF	1.19 MB
07 - Average reward reinforcement learning. Foundations, algorithms, and empirical results.pdf	PDF	1.54 MB
08 - The loss from imperfect value functions in expectation-based and minimax-based tasks.pdf	PDF	1.05 MB
09 - The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms.pdf	PDF	1.07 MB
10 - Creating advice-taking reinforcement learners.pdf	PDF	1.35 MB
11 - Incremental multi-step Q-learning.pdf	PDF	338.55 KB

Volume 23

00 - Representation of Finite State Automata in Recurrent Radial Basis Function Networks.pdf	PDF	831.44 KB
01 - Scaling Up Inductive Learning with Massive Parallelism.pdf	PDF	474.72 KB
02 - Classification by Feature Partitioning.pdf	PDF	675.21 KB
03 - Learning in the Presence of Concept Drift and Hidden Contexts.pdf	PDF	974.77 KB
04 - Review of Inductive Logic Programming. Techniques and Applications by Nada Lavrac, Saso Dzeroski.pdf	PDF	196.99 KB
05 - A Reply to Pazzani's Book Review of Inductive Logic Programming. Techniques and Applications.pdf	PDF	84.91 KB

#2-3

00 - Introduction.pdf	PDF	101.81 KB
01 - Real-world robotics. Learning to plan for robust execution.pdf	PDF	1.61 MB
02 - Robot programming by Demonstration (RPD). Supporting the induction by human interaction.pdf	PDF	1.19 MB
03 - Performance improvement of robot continuous-path operation through iterative learning using neural networks.pdf	PDF	1017.1 KB
04 - Learning controllers for industrial robots.pdf	PDF	1.21 MB
05 - Active learning for vision-based robot grasping.pdf	PDF	1.28 MB
06 - Purposive behavior acquisition for a real robot by vision-based reinforcement learning.pdf	PDF	973.67 KB
07 - Learning concepts from sensor data of a mobile robot.pdf	PDF	1.21 MB

Volume 24

00 - BEXA. A Covering Algorithm for Learning Propositional Concept Descriptions.pdf	PDF	1.18 MB
01 - Technical Note. Some Properties of Splitting Criteria.pdf	PDF	190.59 KB
02 - Stacked Regressions.pdf	PDF	404.07 KB
03 - On Learning Visual Concepts and DNF Formulae.pdf	PDF	337.65 KB

00 - A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval.pdf	PDF	278.37 KB
01 - Bagging Predictors.pdf	PDF	293.63 KB
02 - Unifying Instance-Based and Rule-Based Induction.pdf	PDF	376.2 KB

00 - Error Reduction through Learning Multiple Descriptions.pdf	PDF	312.48 KB
01 - A Decision-Tree Model of Balance Scale Development.pdf	PDF	314.66 KB
02 - Efficient Incremental Induction of Decision Trees.pdf	PDF	156.42 KB

Volume 25

00 - Exploration Bonuses and Dual Control.pdf	PDF	250.38 KB
01 - On-line Prediction and Conversion Strategies.pdf	PDF	489.06 KB
01 - Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs.pdf	PDF	357.32 KB
02 - PAC Learning of One-Dimensional Patterns.pdf	PDF	572.66 KB

#2-3

00 - Guest editor's introduction.pdf	PDF	81.45 KB
01 - The power of amnesia. Learning probabilistic automata with variable memory length.pdf	PDF	1.38 MB
02 - Classic learning.pdf	PDF	2.04 MB
03 - Rigorous learning curve bounds from statistical mechanics.pdf	PDF	1.63 MB
04 - On the limits of proper learnability of subclasses of DNF formulas.pdf	PDF	1.3 MB

Volume 26

00 - Empirical Support for Winnow and Weighted-Majority Algorithms Results on a Calendar Scheduling Domain.pdf	PDF	220.1 KB
01 - Exact Learning of Formulas in Parallel.pdf	PDF	146.38 KB
02 - Learning and Updating of Uncertainty in Dirichlet Models.pdf	PDF	363.88 KB
03 - A Microscopic Study of Minimum Entropy Search in Learning Decomposable Markov Networks.pdf	PDF	213.03 KB

#2-3

00 - Guest Editors' Introduction.pdf	PDF	40.31 KB
01 - Clausal Discovery.pdf	PDF	566.65 KB
02 - First Order Regression.pdf	PDF	282.85 KB
03 - Learning Qualitative Models of Dynamic Systems.pdf	PDF	624.99 KB
04 - Generalization of Clauses Relative to a Theory.pdf	PDF	120.23 KB
05 - A Pattern-Based First-Order Inductive System.pdf	PDF	325.68 KB

Volume 27

00 - Guest Editor's Introduction.pdf	PDF	16.07 KB
01 - An Experimental and Theoretical Comparison of Model Selection Methods.pdf	PDF	820.29 KB
02 - Predicting Nearly As Well As the Best Pruning of a Decision Tree.pdf	PDF	319.46 KB
03 - Exactly Learning Automata of Small Cover Time.pdf	PDF	441.44 KB
04 - A Comparison of New and Old Algorithms for a Mixture Estimation Problem.pdf	PDF	466.89 KB

00 - Characteristic Sets for Polynomial Grammatical Inference.pdf	PDF	113.15 KB
01 - Pruning Algorithms for Rule Learning.pdf	PDF	381.53 KB
02 - Representing Probabilistic Rules with Networks of Gaussian Basis Functions.pdf	PDF	326.08 KB

00 - Guest Editors' Introduction.pdf	PDF	43.99 KB
01 - Integrating Multiple Learning Strategies in First Order Logics.pdf	PDF	386.72 KB
02 - Using Background Knowledge to Build Multistrategy Learners.pdf	PDF	121.4 KB
03 - Tracking Context Changes through Meta-Learning.pdf	PDF	316.85 KB
04 - A Multistrategy Approach to Relational Knowledge Discovery in Databases.pdf	PDF	359.41 KB
05 - Learning and Revising User Profiles The Identification of Interesting Web Sites.pdf	PDF	164.61 KB

Volume 28

00 - Guest Editors' Introduction.pdf	PDF	12.63 KB
01 - A Bayesian-Information Theoretic Model of Learning to Learn via Multiple Task Sampling.pdf	PDF	407.96 KB
02 - Multitask Learning.pdf	PDF	381.52 KB
03 - CHILD A First Step Towards Continual Learning.pdf	PDF	310.93 KB
04 - Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.pdf	PDF	373.09 KB

#2-3

00 - Selective Sampling Using the Query by Committee Algorithm.pdf	PDF	435.58 KB
01 - Explanation-Based Learning and Reinforcement Learning A Unified View.pdf	PDF	476.24 KB
02 - Malicious Omissions and Errors in Answers to Membership Queries.pdf	PDF	716.83 KB
03 - An Exact Probability Metric for Decision Tree Splitting and Stopping.pdf	PDF	382.23 KB

Volume 29

00 - Decision Tree Induction Based on Efficient Tree Restructuring.pdf	PDF	356.22 KB
01 - Online Learning versus Offline Learning.pdf	PDF	322.05 KB
02 - Coping with Uncertainty in Map Learning.pdf	PDF	448.69 KB

#2-3

00 - Learning with Probabilistic Representations.pdf	PDF	123.64 KB
01 - On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.pdf	PDF	344.98 KB
02 - Bayesian Network Classifiers.pdf	PDF	517.34 KB
03 - The Sample Complexity of Learning Fixed-Structure Bayesian Networks.pdf	PDF	287.72 KB
04 - Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.pdf	PDF	401.78 KB
05 - Adaptive Probabilistic Networks with Hidden Variables.pdf	PDF	377.56 KB
06 - Factorial Hidden Markov Models.pdf	PDF	392.4 KB
07 - Predicting Protein Secondary Structure Using Stochastic Tree Grammars.pdf	PDF	396.44 KB

Volume 30

00 - Guest Editor's Introduction.pdf	PDF	55.73 KB
01 - PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples.pdf	PDF	303.86 KB
02 - A Note on Learning from Multiple-Instance Examples.pdf	PDF	234.46 KB
03 - Strong Minimax Lower Bounds for Learning.pdf	PDF	179.78 KB
04 - Hardness Results for Learning First-Order Representations and Programming by Demonstration.pdf	PDF	478.32 KB
05 - On Restricted-Focus-of-Attention Learnability of Boolean Functions.pdf	PDF	511.75 KB

#2-3

00 - Guest Editors' Introduction On Applied Research in Machine Learning.pdf	PDF	95.99 KB
01 - Learning in the Real World.pdf	PDF	314.65 KB
02 - Learning to Recognize Volcanoes on Venus.pdf	PDF	942 KB
03 - Machine Learning for the Detection of Oil Spills in Satellite Radar Images.pdf	PDF	700.21 KB
04 - Knowledge-Based Learning in Exploratory Science Learning Rules to Predict Rodent Carcinogenicity.pdf	PDF	360.12 KB
05 - Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.pdf	PDF	522.92 KB
06 - Glossary of Terms.pdf	PDF	140.42 KB

Volume 31

#1-3

00 - Foreword.pdf	PDF	15.32 KB
01 - Rapid Concept Learning for Mobile Robots.pdf	PDF	263.2 KB
02 - A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots.pdf	PDF	573 KB
03 - Module-Based Reinforcement Learning - Experiments with a Real Robot.pdf	PDF	214.75 KB
04 - Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory.pdf	PDF	242.28 KB
05 - Learning from Innate Behaviors - A Quantitative Evaluation of Neural Network Controllers.pdf	PDF	141.63 KB
06 - Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions.pdf	PDF	277.82 KB
07 - Self Calibration of the Fixation Movement of a Stereo Camera Head.pdf	PDF	127.8 KB
08 - Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction.pdf	PDF	118.48 KB
09 - Training a Vision Guided Mobile Robot.pdf	PDF	185.9 KB
10 - Learning Dextrous Manipulation Skills for Multifingered Robot Hands Using the Evolution Strategy.pdf	PDF	182.38 KB
11 - Learning to Recognize and Grasp Objects.pdf	PDF	213.95 KB

Volume 32

00 - Analytical Mean Squared Error Curves for Temporal Difference Learning.pdf	PDF	1.48 MB
01 - The Hierarchical Hidden Markov Model Analysis and Applications.pdf	PDF	432.98 KB
02 - Using Model Trees for Classification.pdf	PDF	202.23 KB
03 - Erratum.pdf	PDF	57.6 KB

00 - Guest Editors'Introduction.pdf	PDF	35.43 KB
01 - Robust Sensor Fusion Analysis and Application to Audio Visual Speech Recognition.pdf	PDF	198.98 KB
02 - Extracting Hidden Context.pdf	PDF	231.59 KB
03 - Tracking the Best Disjunction.pdf	PDF	266.57 KB
04 - Tracking the Best Expert.pdf	PDF	424.28 KB
05 - Statistical Mechanics of Online Learning of Drifting Concepts A Variational Approach.pdf	PDF	299.05 KB

00 - Localization vs. Identification of Semi-Algebraic Sets.pdf	PDF	157.07 KB
01 - Co-Evolution in the Successful Learning of Backgammon Strategy.pdf	PDF	187.58 KB
02 - Comments on “Co-Evolution in the Successful Learning of Backgammon Strategy”.pdf	PDF	23.08 KB
03 - Learning from Examples and Membership Queries with Structured Determinations.pdf	PDF	393.24 KB

Volume 33

00 - Prequential and Cross-Validated Regression Estimation.pdf	PDF	189.15 KB
01 - Bayesian Landmark Learning for Mobile Robot Localization.pdf	PDF	505.71 KB
02 - Choice of Basis for Laplace Approximation.pdf	PDF	76.78 KB
03 - Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning.pdf	PDF	95.78 KB
04 - Fast Online Q(lambda).pdf	PDF	80.14 KB

#2-3

00 - Guest Editorial.pdf	PDF	31.8 KB
01 - Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments.pdf	PDF	285.18 KB
02 - Learning Coordination Strategies for Cooperative Multiagent Systems.pdf	PDF	440.96 KB
03 - Conjectural Equilibrium in Multiagent Learning.pdf	PDF	149.72 KB
04 - Colearning in Differential Games.pdf	PDF	236.33 KB
05 - Elevator Group Control Using Multiple Reinforcement Learning Agents.pdf	PDF	133.59 KB
06 - Learning Team Strategies Soccer Case Studies.pdf	PDF	173.03 KB

Volume 34

#1-3

00 - Guest Editors' Introduction Machine Learning and Natural Language.pdf	PDF	30.43 KB
01 - Forgetting Exceptions is Harmful in Language Learning.pdf	PDF	187.66 KB
02 - Similarity-Based Models of Word Cooccurrence Probabilities.pdf	PDF	169.05 KB
03 - An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.pdf	PDF	188.53 KB
04 - A Winnow-Based Approach to Context-Sensitive Spelling Correction.pdf	PDF	878.92 KB
05 - Using Decision Trees to Construct a Practical Parser.pdf	PDF	103.01 KB
06 - Learning to Parse Natural Language with Maximum Entropy Models.pdf	PDF	150.44 KB
07 - Statistical Models for Text Segmentation.pdf	PDF	241.19 KB
08 - An Algorithm that Learns What's in a Name.pdf	PDF	134.83 KB
09 - Learning Information Extraction Rules for Semi-Structured and Free Text.pdf	PDF	210.27 KB

Volume 35

00 - An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.pdf	PDF	91.23 KB
01 - Concept Learning and Feature Selection Based on Square-Error Clustering.pdf	PDF	102.8 KB
02 - An Efficient Method To Estimate Bagging's Generalization Error.pdf	PDF	112.96 KB
03 - Learning to Take Actions.pdf	PDF	146.12 KB

00 - Learning to Reason with a Restricted View.pdf	PDF	186.49 KB
01 - Exploration of Multi-State Environments Local Measures and Back-Propagation of Uncertainty.pdf	PDF	234.93 KB
02 - Toward a Model of Intelligence as an Economy of Agents.pdf	PDF	206.44 KB

00 - Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97.pdf	PDF	12.03 KB
01 - Universal Portfolios With and Without Transaction Costs.pdf	PDF	75.41 KB
02 - A Dichotomy Theorem for Learning Quantified Boolean Formulas.pdf	PDF	90.57 KB
03 - Estimation of Time-Varying Parameters in Statistical Models An Optimization Approach.pdf	PDF	111.66 KB
04 - Derandomizing Stochastic Prediction Strategies.pdf	PDF	163.4 KB

Volume 36

#1-2

00 - Guest Editors' Introduction.pdf	PDF	16.37 KB
01 - A Principal Components Approach to Combining Regression Estimates.pdf	PDF	136.97 KB
02 - Using Correspondence Analysis to Combine Classifiers.pdf	PDF	115.07 KB
03 - Linearly Combining Density Estimators via Stacking.pdf	PDF	266.24 KB
04 - Pasting Small Votes for Classification in Large Databases and On-Line.pdf	PDF	99.92 KB
05 - An Empirical Comparison of Voting Classification Algorithms Bagging, Boosting, and Variants.pdf	PDF	420.09 KB

00 - Structural Results About On-line Learning Models With and Without Queries.pdf	PDF	174.16 KB
01 - An Efficient Extension to Mixture Techniques for Prediction and Decision Trees.pdf	PDF	120.18 KB
02 - General and Efficient Multisplitting of Numerical Attributes.pdf	PDF	379.64 KB

Volume 37

00 - A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.pdf	PDF	907.67 KB
01 - Minimum Generalization Via Reflection A Fast Linear Threshold Learner.pdf	PDF	98.1 KB
02 - Mixed Memory Markov Models Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.pdf	PDF	63.21 KB
03 - Efficient Read-Restricted Monotone CNF-DNF Dualization by Learning with Membership Queries.pdf	PDF	108.23 KB

00 - Projection Learning.pdf	PDF	86.44 KB
01 - On the Sample Complexity for Nonoverlapping Neural Networks.pdf	PDF	60.37 KB
02 - Effective and Efficient Knowledge Base Refinement.pdf	PDF	277.37 KB
03 - An Introduction to Variational Methods for Graphical Models.pdf	PDF	516.78 KB

00 - Guest Editors' Introduction.pdf	PDF	14.26 KB
01 - Learning Function-Free Horn Expressions.pdf	PDF	163.99 KB
02 - Large Margin Classification Using the Perceptron Algorithm.pdf	PDF	152.56 KB
03 - Improved Boosting Algorithms Using Confidence-rated Predictions.pdf	PDF	228.24 KB
04 - The Complexity of Learning According to Two Models of a Drifting Environment.pdf	PDF	106.67 KB
05 - Some PAC-Bayesian Theorems.pdf	PDF	45.38 KB

Volume 38

#1-2

00 - Guest Editors' Introduction.pdf	PDF	16.97 KB
01 - Evolutionary Processes Guided by Machine Learning.pdf	PDF	574.11 KB
02 - Resource-bounded Relational Reasoning Induction and Deduction Through Stochastic Matching.pdf	PDF	97.11 KB
03 - Strategies in Combined Learning via Logic Programs.pdf	PDF	132.21 KB
04 - Feature Selection vs Theory Reformulation A Study of Genetic Refinement of Knowledge-based Neural Networks.pdf	PDF	185.61 KB
05 - Refining Numerical Constants in First Order Logic Theories.pdf	PDF	141.92 KB
06 - Multistrategy Theory Revision Induction and Abduction in INTHELEX.pdf	PDF	133.22 KB
07 - Multistrategy Discovery and Detection of Novice Programmer Errors.pdf	PDF	133.12 KB
08 - Multi Level Knowledge in Modeling Qualitative Physics Learning.pdf	PDF	231.23 KB
09 - A Multistrategy Approach to Classifier Learning from Time Series.pdf	PDF	379.68 KB

00 - Improved Generalization Through Explicit Optimization of Margins.pdf	PDF	102.66 KB
01 - Reduction Techniques for Instance-Based Learning Algorithms.pdf	PDF	239.27 KB
02 - Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms.pdf	PDF	115.78 KB
03 - Multiple Comparisons in Induction Algorithms.pdf	PDF	238.29 KB

Volume 39

00 - Nonparametric Time Series Prediction Through Adaptive Model Selection.pdf	PDF	156.81 KB
01 - On-line Learning and the Metrical Task System Problem.pdf	PDF	107.04 KB
02 - A Machine Learning Approach to POS Tagging.pdf	PDF	226.98 KB

#2-3

00 - Special Issue of Machine Learning on Information Retrieval Introduction.pdf	PDF	16.75 KB
01 - Text Classification from Labeled and Unlabeled Documents using EM.pdf	PDF	165.02 KB
02 - BoosTexter A Boosting-based System for Text Categorization.pdf	PDF	349.99 KB
03 - Machine Learning for Information Extraction in Informal Domains.pdf	PDF	149.91 KB
04 - Adaptive Retrieval Agents Internalizing Local Context and Scaling up to the Web.pdf	PDF	427.59 KB

Volume 40

00 - Implementation Issues in the Fourier Transform Algorithm.pdf	PDF	343.01 KB
01 - Constructing X-of-N Attributes for Decision Tree Learning.pdf	PDF	433.65 KB
02 - Upper and Lower Bounds on the Learning Curve for Gaussian Processes.pdf	PDF	146.23 KB

00 - Stochastic Grammatical Inference of Text Database Structure.pdf	PDF	192.92 KB
01 - An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees Bagging, Boosting, and Randomization.pdf	PDF	324.06 KB
02 - MultiBoosting A Technique for Combining Boosting and Wagging.pdf	PDF	125.33 KB

00 - A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms.pdf	PDF	160.31 KB
01 - Randomizing Outputs to Increase Prediction Accuracy.pdf	PDF	53.33 KB
02 - Learning to Play Chess Using Temporal Differences.pdf	PDF	117.52 KB
03 - A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions.pdf	PDF	338.85 KB

Volume 41

00 - Technical Note Naive Bayes for Regression.pdf	PDF	86.92 KB
01 - Selecting Examples for Partial Memory Learning.pdf	PDF	340.06 KB
02 - Lazy Learning of Bayesian Rules.pdf	PDF	469.77 KB
03 - A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners.pdf	PDF	108.85 KB

00 - Maximizing Theory Accuracy Through Selective Reinterpretation.pdf	PDF	207.07 KB
01 - Learning Changing Concepts by Exploiting the Structure of Change.pdf	PDF	112.72 KB
02 - A Formalism for Relevance and Its Application in Feature Subset Selection.pdf	PDF	93.24 KB
03 - Adaptive Versus Nonadaptive Attribute-Efficient Learning.pdf	PDF	98.07 KB
04 - Phase Transitions in Relational Learning.pdf	PDF	238.79 KB

00 - Bottom-Up Induction of Feature Terms.pdf	PDF	689.81 KB
01 - Enlarging the Margins in Perceptron Decision Trees.pdf	PDF	147.39 KB
02 - Cascade Generalization.pdf	PDF	267.56 KB
03 - Markov Processes on Curves.pdf	PDF	109.21 KB

Volume 42

#1-2

00 - Introduction.pdf	PDF	16.62 KB
01 - An Experimental Comparison of Model-Based Clustering Methods.pdf	PDF	90.76 KB
02 - SPADE An Efficient Algorithm for Mining Frequent Sequences.pdf	PDF	503.85 KB
03 - Confirmation-Guided Discovery of First-Order Rules with Tertius.pdf	PDF	140.89 KB
04 - Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks.pdf	PDF	142.73 KB
05 - Linear Concepts and Hidden Variables.pdf	PDF	116.85 KB
06 - Concept Decompositions for Large Sparse Text Data Using Clustering.pdf	PDF	206.19 KB
07 - Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf	PDF	174.37 KB

00 - Robust Classification for Imprecise Environments.pdf	PDF	225.93 KB
01 - A Learning Generalization Bound with an Application to Sparse-Representation Classifiers.pdf	PDF	46.09 KB
02 - On the Convergence of Temporal-Difference Learning with Linear Function Approximation.pdf	PDF	128.57 KB
03 - The Effect of Instance-Space Partition on Significance.pdf	PDF	133.66 KB
04 - Soft Margins for AdaBoost.pdf	PDF	234.91 KB
05 - Errata.pdf	PDF	9.1 KB

Volume 43

#1-2

00 - Guest Editorial.pdf	PDF	13.56 KB
01 - Relational Reinforcement Learning.pdf	PDF	333.75 KB
02 - Relational Instance-Based Learning with Lists and Terms.pdf	PDF	155.15 KB
03 - The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.pdf	PDF	102.32 KB
04 - Relational Learning with Statistical Predicate Invention Better Models for Hypertext.pdf	PDF	126.41 KB
05 - Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming.pdf	PDF	250.94 KB

00 - Guest Editor's Introduction.pdf	PDF	12.62 KB
01 - General Convergence Results for Linear Discriminant Updates.pdf	PDF	197.28 KB
02 - Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions.pdf	PDF	176.16 KB
03 - Worst-Case Bounds for the Logarithmic Loss of Predictors.pdf	PDF	94.23 KB
04 - Drifting Games.pdf	PDF	126.48 KB
05 - An Adaptive Version of the Boost by Majority Algorithm.pdf	PDF	128.43 KB

Volume 44

#1-2

00 - Introduction.pdf	PDF	15.58 KB
01 - Learning DFA from Simple Examples.pdf	PDF	153.74 KB
02 - Learning Regular Languages from Simple Positive Examples.pdf	PDF	136.83 KB
03 - Stochastic Finite Learning of the Pattern Languages.pdf	PDF	126.76 KB
04 - Efficient Algorithms for the Inference of Minimum Size DFAs.pdf	PDF	161.9 KB
05 - Some Statistical-Estimation Methods for Stochastic Finite-State Transducers.pdf	PDF	96.07 KB
06 - Language Simplification through Error-Correcting and Grammatical Inference Techniques.pdf	PDF	146.58 KB
07 - Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference.pdf	PDF	182.11 KB
08 - Stochastic Inference of Regular Tree Languages.pdf	PDF	83.07 KB

00 - Editorial Inductive Logic Programming is Coming of Age.pdf	PDF	17.77 KB
01 - On Exact Learning of Unordered Tree Patterns.pdf	PDF	188.75 KB
02 - Parameter Estimation in Stochastic Logic Programs.pdf	PDF	159.42 KB
03 - Approximate Match of Rules Using Backpropagation Neural Networks.pdf	PDF	111.89 KB
04 - Extracting Context-Sensitive Models in Inductive Logic Programming.pdf	PDF	198.95 KB

Volume 45

00 - Random Forests.pdf	PDF	176.89 KB
01 - On the VC Dimension of Bounded Margin Classifiers.pdf	PDF	66.63 KB
02 - Iterated Phantom Induction A Knowledge-Based Approach to Learning Control.pdf	PDF	174.65 KB
03 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf	PDF	314.83 KB
04 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf	PDF	314.83 KB

00 - Learning with Maximum-Entropy Distributions.pdf	PDF	142.11 KB
01 - Robust Learning with Missing Data.pdf	PDF	153.32 KB
02 - A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.pdf	PDF	94.27 KB
03 - Predicting the Future of Discrete Sequences from Fractal Representations of the Past.pdf	PDF	736.88 KB
04 - Reinterpreting the Category Utility Function.pdf	PDF	60.79 KB

00 - Efficient Construction of Regression Trees with Range and Region Splitting.pdf	PDF	196.9 KB
01 - Using Iterated Bagging to Debias Regressions.pdf	PDF	67.59 KB
02 - Accelerating EM for Large Databases.pdf	PDF	303.89 KB
03 - Relative Loss Bounds for Multidimensional Regression Problems.pdf	PDF	171.93 KB

Volume 46

#1-3

00 - Editorial Kernel Methods Current Research and Future Directions.pdf	PDF	28.43 KB
01 - On a Connection between Kernel PCA and Metric Multidimensional Scaling.pdf	PDF	58.51 KB
02 - Bayesian Methods for Support Vector Machines Evidence and Predictive Class Probabilities.pdf	PDF	691.23 KB
03 - Hierarchical Learning in Polynomial Support Vector Machines.pdf	PDF	118.22 KB
04 - A Probabilistic Framework for SVM Regression and Error Bar Estimation.pdf	PDF	109.87 KB
05 - On the Dual Formulation of Regularized Linear Systems with Convex Risks.pdf	PDF	203.81 KB
06 - Choosing Multiple Parameters for Support Vector Machines.pdf	PDF	233.31 KB
07 - Training Invariant Support Vector Machines.pdf	PDF	572.25 KB
08 - Support Vector Machines for Classification in Nonstandard Situations.pdf	PDF	71 KB
09 - An Analytic Center Machine.pdf	PDF	179.46 KB
10 - Linear Programming Boosting via Column Generation.pdf	PDF	303.31 KB
11 - Large Scale Kernel Regression via Linear Programming.pdf	PDF	114.85 KB
12 - Efficient SVM Regression Training with SMO.pdf	PDF	108.85 KB
13 - A Simple Decomposition Method for Support Vector Machines.pdf	PDF	142.09 KB
14 - Feasible Direction Decomposition Algorithms for Training Support Vector Machines.pdf	PDF	210.38 KB
15 - Convergence of a Generalized SMO Algorithm for SVM Classifier Design.pdf	PDF	65.38 KB
15 - The Relaxed Online Maximum Margin Algorithm.pdf	PDF	141.47 KB
16 - Gene Selection for Cancer Classification using Support Vector Machines.pdf	PDF	546.35 KB
17 - Text Categorization with Support Vector Machines. How to Represent Texts in Input Space.pdf	PDF	306.72 KB

Volume 47

00 - Editorial.pdf	PDF	14.93 KB
01 - Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data.pdf	PDF	200.05 KB
02 - A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.pdf	PDF	341.88 KB
03 - Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.pdf	PDF	162.91 KB
04 - Bayesian Clustering by Dynamics.pdf	PDF	200.95 KB

#2-3

00 - Guest Editor's Introduction.pdf	PDF	13.93 KB
01 - PAC Analogues of Perceptron and Winnow Via Boosting the Margin.pdf	PDF	122.1 KB
02 - Boosting Methods for Regression.pdf	PDF	299.15 KB
03 - On the Learnability and Design of Output Codes for Multiclass Problems.pdf	PDF	180.77 KB
04 - Finite-time Analysis of the Multiarmed Bandit Problem.pdf	PDF	160.66 KB
05 - Theory Revision with Queries DNF Formulas.pdf	PDF	200.15 KB

Volume 48

#1-3

00 - Guest Introduction Special Issue on New Methods for Model Selection and Model Combination.pdf	PDF	17.35 KB
01 - Model Selection for Small Sample Regression.pdf	PDF	418.07 KB
02 - Theoretical and Experimental Evaluation of the Subspace Information Criterion.pdf	PDF	1.18 MB
03 - Metric-Based Methods for Adaptive Model Selection and Regularization.pdf	PDF	167.31 KB
04 - Model Selection and Error Estimation.pdf	PDF	216.48 KB
05 - Statistical Properties and Adaptive Tuning of Support Vector Machines.pdf	PDF	142.71 KB
06 - Structural Modelling with Sparse Kernels.pdf	PDF	359.58 KB
07 - Kernel Matching Pursuit.pdf	PDF	267.79 KB
08 - Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.pdf	PDF	159.77 KB
09 - On the Existence of Linear Weak Learners and Applications to Boosting.pdf	PDF	184.78 KB
10 - Logistic Regression, AdaBoost and Bregman Distances.pdf	PDF	192.75 KB
11 - Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.pdf	PDF	51.67 KB
12 - Bayesian Treed Models.pdf	PDF	182.92 KB
13 - Decision Region Connectivity Analysis A Method for Analyzing High-Dimensional Classifiers.pdf	PDF	775.93 KB

Volume 49

00 - The Lagging Anchor Algorithm Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information.pdf	PDF	178.8 KB
01 - A Simple Method for Generating Additive Clustering Models with Limited Complexity.pdf	PDF	104.35 KB
02 - Feature Generation Using General Constructor Functions.pdf	PDF	218.67 KB

#2-3

00 - Introduction.pdf	PDF	20.46 KB
01 - Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks.pdf	PDF	446.49 KB
02 - Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.pdf	PDF	240.13 KB
03 - Kernel-Based Reinforcement Learning.pdf	PDF	106.83 KB
04 - On Average Versus Discounted Reward Temporal-Difference Learning.pdf	PDF	68.03 KB
05 - A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.pdf	PDF	101.78 KB
06 - Near-Optimal Reinforcement Learning in Polynomial Time.pdf	PDF	116.13 KB
07 - Technical Update Least-Squares Temporal Difference Learning.pdf	PDF	133.15 KB
08 - Continuous-Action Q-Learning.pdf	PDF	229.31 KB
09 - Risk-Sensitive Reinforcement Learning.pdf	PDF	121.57 KB
10 - Variable Resolution Discretization in Optimal Control.pdf	PDF	931.5 KB
11 - Structure in the Space of Value Functions.pdf	PDF	650.1 KB

Volume 50

#1-2

00 - An Introduction to MCMC for Machine Learning.pdf	PDF	414.31 KB
01 - EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence.pdf	PDF	452.6 KB
02 - Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation.pdf	PDF	133.3 KB
03 - Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.pdf	PDF	1.76 MB
04 - Improving Markov Chain Monte Carlo Model Search for Data Mining.pdf	PDF	303.67 KB
05 - Classification with Bayesian MARS.pdf	PDF	104.56 KB
06 - Population Markov Chain Monte Carlo.pdf	PDF	298.75 KB
07 - A Noninformative Prior for Neural Networks.pdf	PDF	83.63 KB

00 - Introduction.pdf	PDF	21.59 KB
01 - Combining Classifiers with Meta Decision Trees.pdf	PDF	149.3 KB
02 - Ranking Learning Algorithms Using IBL and Meta-Learning on Accuracy and Time Results.pdf	PDF	114.27 KB
03 - Learning to Match the Schemas of Data Sources A Multistrategy Approach.pdf	PDF	541.36 KB
04 - Clustered Partial Linear Regression.pdf	PDF	139.34 KB
05 - Complete Mining of Frequent Patterns from Graphs Mining Graph Data.pdf	PDF	637.97 KB

Volume 51

00 - PAC-Bayesian Stochastic Model Selection.pdf	PDF	87.35 KB
01 - Relative Loss Bounds for Temporal-Difference Learning.pdf	PDF	150.97 KB
02 - Polynomial-Time Decomposition Algorithms for Support Vector Machines.pdf	PDF	105.3 KB
03 - An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.pdf	PDF	245.11 KB

00 - Variance and Bias for General Loss Functions.pdf	PDF	87.5 KB
01 - Learning from Different Teachers.pdf	PDF	129.96 KB
02 - Microchoice Bounds and Self Bounding Learning Algorithms.pdf	PDF	79.51 KB
03 - Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.pdf	PDF	445.01 KB

00 - Guest Editor's Introduction.pdf	PDF	16.33 KB
01 - Boosting and Hard-Core Set Construction.pdf	PDF	140.25 KB
02 - Potential-Based Algorithms in On-Line Prediction and Game Theory.pdf	PDF	127.69 KB
03 - Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.pdf	PDF	104.33 KB
04 - A Theoretical Analysis of Query Selection for Collaborative Filtering.pdf	PDF	124.97 KB

Volume 52

#1-2

00 - Editorial Methods in Functional Genomics.pdf	PDF	26.43 KB
01 - Relation Between Permutation-Test P Values and Classifier Error Estimates.pdf	PDF	147.7 KB
02 - Boosting and Microarray Data.pdf	PDF	65.49 KB
03 - Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps.pdf	PDF	1012.49 KB
04 - Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling.pdf	PDF	404.43 KB
05 - Consensus Clustering A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data.pdf	PDF	845.17 KB
06 - Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets Application to Gene Expression Data.pdf	PDF	167.9 KB
07 - On Learning Gene Regulatory Networks Under the Boolean Network Model.pdf	PDF	122.4 KB
08 - External Control in Markovian Genetic Regulatory Networks.pdf	PDF	105.16 KB

00 - Tree Induction for Probability-Based Ranking.pdf	PDF	106.72 KB
01 - Feature Weighting in k-Means Clustering.pdf	PDF	119.27 KB
02 - Inference for the Generalization Error.pdf	PDF	454.45 KB

Volume 53

#1-2

00 - A Microchoice Bound for Continuous-Space Classification Algorithms.pdf	PDF	86.94 KB
01 - Theoretical and Empirical Analysis of ReliefF and RReliefF.pdf	PDF	404.78 KB
02 - Online Ensemble Learning An Empirical Study.pdf	PDF	1.37 MB
03 - Programming by Demonstration Using Version Space Algebra.pdf	PDF	444.59 KB
04 - Improved Rooftop Detection in Aerial Images with Machine Learning.pdf	PDF	213.63 KB

00 - Learning from Cluster Examples.pdf	PDF	284.52 KB
01 - Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.pdf	PDF	163.14 KB
02 - The Robustness of the p-Norm Algorithms.pdf	PDF	202.26 KB

Volume 54

00 - Benchmarking Least Squares Support Vector Machine Classifiers.pdf	PDF	225.34 KB
01 - Projection Support Vector Machine Generators.pdf	PDF	61.38 KB
02 - Support Vector Data Description.pdf	PDF	275.05 KB
03 - A Hybrid Classification Model.pdf	PDF	329.95 KB

00 - DeEPs A New Instance-Based Lazy Discovery and Classification System.pdf	PDF	116.62 KB
01 - Selective Sampling for Nearest Neighbor Classifiers.pdf	PDF	207.26 KB
02 - Active Sampling for Class Probability Estimation and Ranking.pdf	PDF	157.96 KB

00 - Introduction to the Special Issue on Meta-Learning.pdf	PDF	32.1 KB
01 - A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.pdf	PDF	88.46 KB
02 - Optimal Ordered Problem Solver.pdf	PDF	275.58 KB
03 - Is Combining Classifiers with Stacking Better than Selecting the Best One.pdf	PDF	76.93 KB
04 - On Data and Algorithms Understanding Inductive Performance.pdf	PDF	513.12 KB

Volume 55

00 - A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward.pdf	PDF	168.78 KB
01 - Classification Using F-Machines and Constructive Function Approximation.pdf	PDF	104.45 KB
02 - Khiops A Statistical Discretization Method of Continuous Attributes.pdf	PDF	80.21 KB
03 - Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.pdf	PDF	155.12 KB

00 - Guest Editors’ Introduction.pdf	PDF	14.76 KB
01 - Induction as Consequence Finding.pdf	PDF	120.68 KB
02 - Fast Theta-Subsumption with Constraint Satisfaction Algorithms.pdf	PDF	447.15 KB
03 - Inducing Multi-Level Association Rules from Multiple Relations.pdf	PDF	211.91 KB

00 - Functional Trees.pdf	PDF	294.44 KB
01 - Bagging Equalizes Influence.pdf	PDF	161.93 KB
02 - How to Better Use Expert Advice.pdf	PDF	264.04 KB
03 - Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.pdf	PDF	151.69 KB

Volume 56

#1-3

00 - Introduction Special Issue on Theoretical Advances in Data Clustering.pdf	PDF	20.51 KB
01 - Clustering Large Graphs via the Singular Value Decomposition.pdf	PDF	137.11 KB
02 - Optimal Time Bounds for Approximate Clustering.pdf	PDF	149.05 KB
03 - A k-Median Algorithm with Running Time Independent of Data Size.pdf	PDF	169.11 KB
04 - Correlation Clustering.pdf	PDF	164.55 KB
05 - A New Conceptual Clustering Framework.pdf	PDF	243.67 KB
06 - Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.pdf	PDF	95.31 KB
07 - Central Clustering of Attributed Graphs.pdf	PDF	437.21 KB
08 - Semi-Supervised Learning on Riemannian Manifolds.pdf	PDF	175.67 KB

Volume 57

#1-2

00 - Decision Support Through Subgroup Discovery Three Case Studies and the Lessons Learned.pdf	PDF	118.72 KB
01 - Editorial Data Mining Lessons Learned.pdf	PDF	35.93 KB
02 - Introduction Lessons Learned from Data Mining Applications and Collaborative Problem Solving.pdf	PDF	89.55 KB
03 - Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation.pdf	PDF	1.45 MB
04 - Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.pdf	PDF	196.37 KB
05 - Lessons and Challenges from Mining Retail E-Commerce Data.pdf	PDF	552.62 KB
06 - Learning to Decode Cognitive States from Brain Images.pdf	PDF	339.73 KB
07 - A Bias-Variance Analysis of a Real World Learning Problem The CoIL Challenge 2000.pdf	PDF	307.29 KB

00 - Guest Editorial.pdf	PDF	17.07 KB
01 - Kernels and Distances for Structured Data.pdf	PDF	185.35 KB
02 - Naive Bayesian Classification of Structured Data.pdf	PDF	202.21 KB
03 - Integrating Guidance into Relational Reinforcement Learning.pdf	PDF	282.45 KB
04 - Compact Representation of Knowledge Bases in Inductive Logic Programming.pdf	PDF	342.63 KB

Volume 58

00 - Not So Naive Bayes Aggregating One-Dependence Estimators.pdf	PDF	98.35 KB
01 - On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf	PDF	49.96 KB
02 - A Response to Webb and Ting’s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf	PDF	37.62 KB
03 - ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms.pdf	PDF	315.33 KB
04 - Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap.pdf	PDF	95.25 KB

#2-3

00 - Guest Editorial.pdf	PDF	43.45 KB
01 - Evolutionary Rule Mining in Time Series Databases.pdf	PDF	812.43 KB
02 - Automatic Feature Extraction for Classifying Audio Data.pdf	PDF	533.83 KB
03 - Clustering Time Series with Clipped Data.pdf	PDF	450.64 KB
04 - Classification of Multivariate Time Series and Structured Data Using Constructive Induction.pdf	PDF	2.48 MB
05 - Principle Components and Importance Ranking of Distributed Anomalies.pdf	PDF	232.26 KB
06 - Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations.pdf	PDF	3.97 MB
07 - Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle.pdf	PDF	1.29 MB
08 - Elastic Translation Invariant Matching of Trajectories.pdf	PDF	1.6 MB

Volume 59

#1-2

00 - Evolving Soccer Keepaway Players Through Task Decomposition.pdf	PDF	151.16 KB
01 - A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.pdf	PDF	445.43 KB
02 - PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.pdf	PDF	121.7 KB
03 - Multicategory Proximal Support Vector Machine Classifiers.pdf	PDF	408.2 KB
04 - Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning.pdf	PDF	213.59 KB
05 - Internal Regret in On-Line Portfolio Selection.pdf	PDF	161.61 KB
06 - Logistic Model Trees.pdf	PDF	299.71 KB

00 - Editorial.pdf	PDF	13.6 KB
01 - Learning Bayesian Network Classifiers Searching in a Space of Partially Directed Acyclic Graphs.pdf	PDF	119.72 KB
02 - Latent Classification Models.pdf	PDF	185.08 KB
03 - On Discriminative Bayesian Network Classifiers and Logistic Regression.pdf	PDF	249.9 KB
04 - Structural Extension to Logistic Regression Discriminative Parameter Learning of Belief Net Classifiers.pdf	PDF	392.15 KB
05 - TAN Classifiers Based on Decomposable Distributions.pdf	PDF	251.59 KB

Volume 60

#1-3

00 - Guest Editors Introduction Machine Learning in Speech and Language Technologies.pdf	PDF	30.89 KB
01 - Support Vector Learning for Semantic Argument Classification.pdf	PDF	142.9 KB
02 - Filtering-Ranking Perceptron Learning for Partial Parsing.pdf	PDF	189.59 KB
03 - Ranking and Reranking with Perceptron.pdf	PDF	128.61 KB
04 - Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification.pdf	PDF	118.14 KB
05 - Moment Kernels for Regular Distributions.pdf	PDF	116.64 KB
06 - Maximum Entropy Modeling A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation.pdf	PDF	129.37 KB
07 - Maximum Entropy Models with Inequality Constraints A Case Study on Text Categorization.pdf	PDF	241.78 KB
08 - A Neural Syntactic Language Model.pdf	PDF	206.78 KB
09 - Combining Statistical Language Models via the Latent Maximum Entropy Principle.pdf	PDF	138.68 KB
10 - Corpus-based Learning of Analogies and Semantic Relations.pdf	PDF	207.19 KB

Volume 61

#1-3

00 - Incremental Learning of Linear Model Trees.pdf	PDF	986.49 KB
01 - Single-Class Classification with Mapping Convergence.pdf	PDF	1.01 MB
02 - The Synergy Between PAV and AdaBoost.pdf	PDF	613.93 KB
03 - A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method.pdf	PDF	1.19 MB
04 - Combined SVM-Based Feature Selection and Classification.pdf	PDF	302.4 KB
05 - A Fast Dual Algorithm for Kernel Logistic Regression.pdf	PDF	133.49 KB
06 - Generalized Low Rank Approximations of Matrices.pdf	PDF	599.37 KB

Volume 62

#1-2

00 - Introduction to the special issue on multi-relational data mining and statistical relational learning.pdf	PDF	42.08 KB
01 - PRL A probabilistic relational language.pdf	PDF	555.4 KB
02 - Propositionalization-based relational subgroup discovery with RSD.pdf	PDF	2.15 MB
03 - Distribution-based aggregation for relational learning with identifier attributes.pdf	PDF	1.75 MB
04 - Markov logic networks.pdf	PDF	1.28 MB
05 - XRules An effective algorithm for structural classification of XML data.pdf	PDF	2.02 MB

00 - On Mining Summaries by Objective Measures of Interestingness.pdf	PDF	482.67 KB
01 - A Unified View on Clustering Binary Data.pdf	PDF	199.21 KB
02 - Additive Regularization Trade-Off Fusion of Training and Validation Levels in Kernel Methods.pdf	PDF	1.39 MB

Volume 63

00 - Extremely randomized trees.pdf	PDF	2.49 MB
01 - Data-guided model combination by decomposition and aggregation.pdf	PDF	1.35 MB
02 - Model-based transductive learning of the kernel matrix.pdf	PDF	772.26 KB

00 - Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes.pdf	PDF	165.17 KB
01 - Classification using Hierarchical Naïve Bayes models.pdf	PDF	195.24 KB
02 - An algorithmic theory of learning Robust concepts and random projection.pdf	PDF	152.45 KB
03 - Classification-based objective functions.pdf	PDF	858.4 KB
04 - Erratum.pdf	PDF	27.61 KB

00 - Machine learning and games.pdf	PDF	91.95 KB
01 - Adaptive game AI with dynamic scripting.pdf	PDF	541.98 KB
02 - Universal parameter optimisation in games based on SPSA.pdf	PDF	313.32 KB
03 - Learning to bid in bridge.pdf	PDF	2.19 MB
04 - Learning long-term chess strategies from databases.pdf	PDF	151.03 KB

Volume 64

#1-3

00 - Foreword.pdf	PDF	79.11 KB
01 - Relational IBL in classical music.pdf	PDF	241.02 KB
02 - Mathematical applications of inductive logic programming.pdf	PDF	300.41 KB
03 - Quantitative pharmacophore models with inductive logic programming.pdf	PDF	233.51 KB
04 - Graph kernels and Gaussian processes for relational reinforcement learning.pdf	PDF	321.37 KB
05 - Complexity parameters for first order classes.pdf	PDF	243.76 KB
06 - Guest editorial.pdf	PDF	82.88 KB
07 - First order random forests Learning relational classifiers with complex aggregates.pdf	PDF	294.67 KB
08 - Randomised restarted search in ILP.pdf	PDF	890.22 KB
09 - Application of abductive ILP to learning metabolic network inhibition from temporal data.pdf	PDF	416.69 KB
10 - Gleaner Creating ensembles of first-order clauses to improve recall-precision curves.pdf	PDF	351.19 KB
11 - Learning goal hierarchies from structured observations and expert annotations.pdf	PDF	290.08 KB

Volume 65

00 - Semi-supervised model-based document clustering A comparative study.pdf	PDF	339.46 KB
01 - The max-min hill-climbing Bayesian network structure learning algorithm.pdf	PDF	590.58 KB
02 - Kernels as features On kernels, margins, and low-dimensional mappings.pdf	PDF	183.29 KB
03 - Cost curves An improved method for visualizing classifier performance.pdf	PDF	465.74 KB
04 - MODL A Bayes optimal discretization method for continuous attributes.pdf	PDF	591.68 KB
05 - Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.pdf	PDF	565.46 KB
06 - Learning decomposable markov networks in pseudo-independent domains with local evaluation.pdf	PDF	302.38 KB
07 - An efficient top-down search algorithm for learning Boolean networks of gene expression.pdf	PDF	188.94 KB
08 - An analysis of diversity measures.pdf	PDF	384.7 KB
09 - Training a reciprocal-sigmoid classifier by feature scaling-space.pdf	PDF	556.72 KB
10 - A suffix tree approach to anti-spam email filtering.pdf	PDF	287.62 KB

#2-3

00 - Guest editorial Machine learning in and for music.pdf	PDF	80.45 KB
01 - Guest Editorial Machine learning in and for music.pdf	PDF	57.5 KB
02 - Melodic analysis with segment classes.pdf	PDF	145.46 KB
03 - Modeling, analyzing, and synthesizing expressive piano performance with graphical models.pdf	PDF	363.25 KB
04 - Aligning music audio with symbolic scores using a hybrid graphical model.pdf	PDF	297.24 KB
05 - A case based approach to expressivity-aware tempo transformation.pdf	PDF	293.16 KB
06 - Classification-based melody transcription.pdf	PDF	377.62 KB
07 - Bootstrap learning for accurate onset detection.pdf	PDF	237.09 KB
08 - Aggregate features and ADA BOOST for music classification.pdf	PDF	210.94 KB
09 - Using duration models to reduce fragmentation in audio segmentation.pdf	PDF	737.85 KB

Volume 66

00 - Guest editorial to the special issue on grammatical inference.pdf	PDF	98.97 KB
01 - LARS A learning algorithm for rewriting systems.pdf	PDF	337.67 KB
02 - Interactive learning of node selecting tree transducer.pdf	PDF	627.77 KB
03 - Learning finite-state models for machine translation.pdf	PDF	258.32 KB
04 - Learning deterministic context free grammars The Omphalos competition.pdf	PDF	227.27 KB

#2-3

00 - Guest editorial Learning theory.pdf	PDF	87.56 KB
01 - Suboptimal behavior of Bayes and MDL in classification under misspecification.pdf	PDF	352.78 KB
02 - A new PAC bound for intersection-closed concept classes.pdf	PDF	217.89 KB
03 - Model selection by bootstrap penalization for classification.pdf	PDF	408.63 KB
04 - Optimal dyadic decision trees.pdf	PDF	486.07 KB
05 - A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering.pdf	PDF	213.06 KB
06 - Statistical properties of kernel principal component analysis.pdf	PDF	382.91 KB
07 - Statistical properties of kernel principal component analysis.pdf	PDF	22.52 KB
08 - Feature space perspectives for learning the kernel.pdf	PDF	289.56 KB
09 - Improved second-order bounds for prediction with expert advice.pdf	PDF	359.27 KB

Volume 67

#1-2

00 - Introduction to the special issue on learning and computational game theory.pdf	PDF	2.4 MB
01 - Slow emergence of cooperation for win-stay lose-shift on trees.pdf	PDF	2.67 MB
02 - AWESOME A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents.pdf	PDF	2.6 MB
03 - A general criterion and an algorithmic framework for learning in multi-agent systems.pdf	PDF	790.42 KB
04 - Online calibrated forecasts Memory efficiency versus universality for learning in games.pdf	PDF	3.02 MB
05 - Bidding agents for online auctions with hidden bids.pdf	PDF	2.63 MB
06 - Learning payoff functions in infinite games.pdf	PDF	2.64 MB

00 - Density estimation with stagewise optimization of the empirical risk.pdf	PDF	334.23 KB
01 - Stability of Unstable Learning Algorithms.pdf	PDF	272.36 KB
02 - Multi-Class Learning by Smoothed Boosting.pdf	PDF	344.33 KB

Volume 68

00 - Discovering Significant Patterns.pdf	PDF	796.16 KB
01 - Invariant kernel functions for pattern analysis and machine learning.pdf	PDF	719.47 KB
02 - Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.pdf	PDF	1.02 MB
03 - PAV and the ROC convex hull.pdf	PDF	212.09 KB

Volume 70

article1.pdf	PDF	596.86 KB
article2.pdf	PDF	521.48 KB
article3.pdf	PDF	776.04 KB
article4.pdf	PDF	665.32 KB

Volume 72

article1.pdf	PDF	107.24 KB
article2.pdf	PDF	446.91 KB
article3.pdf	PDF	664.66 KB
article4.pdf	PDF	657.91 KB
article5.pdf	PDF	618.78 KB
article6.pdf	PDF	405.53 KB
article7.pdf	PDF	469.03 KB
article8.pdf	PDF	351.2 KB

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