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1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
2000open this document and view contents Learning Trading Rules with Inductive Logic Programming - Liviu Badea
open this document and view contents Complete Cross-Validatin for Nearest Neighbor Classifiers - Matthew Mullin and Rahul Sukthankar
open this document and view contents Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks - Brendan Davis Burns and Andrea Pohoreckyj-Danyluk
open this document and view contents Solving the Multiple-Instance Problem: A Lazy Learning Approach - Jun Wang and Jean-Daniel Zucker
open this document and view contents Resource-Bounded Measure and Learnability - W. Lindner, R. Schuler and O. Watanabe
open this document and view contents Technical Note: Naive Bayes for Regression - Eibe Frank, Leonard Trigg, Geoffrey Holmes and Ian H. Witten
open this document and view contents Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings - Ramon López de Mántaras and Enric Plaza
open this document and view contents Bounds on the Generalization Performance of Kernel Machine Ensembles - Theodoros Evgeniou, Luis Perez-Breva, Massimiliano Pontil and Tomaso Poggio
open this document and view contents A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners - Claire Cardie
open this document and view contents Inductive inference of unbounded unions of pattern languages from positive data - Takeshi Shinohara and Hiroki Arimura
open this document and view contents Computational Complexity of Problems on Probabilistic Grammars and Transducers - F. Casacuberta and Colin De La Higuera
open this document and view contents Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games - Ole Martin Halck and Fredrik A. Dahl
open this document and view contents Using Error-Correcting Codes for Text Classification - Rayid Ghani
open this document and view contents An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control: The Advantages of Indexed Partitioning - Dean F. Hougen, Maria Gini and James Slagle
open this document and view contents An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods - Nello Cristianini and John Shawe-Taylor
open this document and view contents Learning Subjective Functions with Large Margins - Claude-Nicolas Fiechter and Seth Rogers
open this document and view contents Multi-Agent Reinforcement Learning for Traffic Light Control - Marco Wiering
open this document and view contents Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms - Satinder Singh, Tommi Jaakkola, Michael L. Littman and Csaba Szepesvári
open this document and view contents Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning - Gerald DeJong
open this document and view contents A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions - Susumu Katayama, Hajime Kimura and Shigenobu Kobayashi
open this document and view contents Query Learning with Large Margin Classifiers - Colin Campbell, Nello Cristianini and Alex Smola
open this document and view contents Bootstrapping Syntax and Recursion using Alignment-Based Learning - Menno van Zaanen
open this document and view contents Robot Navigation with Distance Queries - Dana Angluin, Jeffery Westbrook and Wenhong Zhu
open this document and view contents Crafting Papers on Machine Learning - Pat Langley
open this document and view contents Mutual Information in Learning Feature Transformations - Kari Torkkola and William M. Campbell
open this document and view contents Clustering with Instance-level Constraints - Kiri Wagstaff and Claire Cardie
open this document and view contents Efficient Learning Trough Evolution: Neural Programming and Internal Reinforcement - Astro Teller and Manuela Veloso
open this document and view contents Algorithms for Inverse Reinforcement Learning - Andrew Y. Ng and Stuart Russell
open this document and view contents PAC Analogues of Perceptron and Winnow via Boosting the Margin - Rocco A. Servedio
open this document and view contents On inferring linear single-tree languages - Erkki Mäkinen
open this document and view contents Query learning of bounded-width OBDDs - Atsuyoshi Nakamura
open this document and view contents Learning Monotone Log-Term DNF Formulas under the Uniform Distribution - Y. Sakai and A. Maruoka
open this document and view contents Efficient Ambiguity Detection in C-NFA, a Step Towards the Inference on Non Deterministic Automata - François Coste and Daniel Fredouille
open this document and view contents Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries - Juan Miguel Vilar
open this document and view contents Linear Discriminant Trees - Olcay Taner Yildiz and Ethem Alpaydin
open this document and view contents An Evolutionary Approach to Evidence-Based Learning of Deterministic Finite Automata - Stefan Veeser
open this document and view contents Exploiting the Cost of (In)sensitivity of Decision Tree Splitting Criteria - Chris Drummond and Robert C. Holte
open this document and view contents The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries - Paul Goldberg and Stephen Kwek
open this document and view contents A Comparative Study of Two Algorithms for Automata Identification - Pedro Garcia, A. Cano and José Ruiz
open this document and view contents Version Space Algebra and its Application to Programming by Demonstration - Tessa Lau, Pedro Domingos and Daniel S. Weld
open this document and view contents A Boosting Approach to Topic Spotting on Subdialogues - Kary Myers, Michael Kearns, Satinder Singh and Marilyn A. Walker
open this document and view contents Exploiting Classifier Combination for Early Melanoma Diagnosis Support - Enrico Blanzieri, C. Eccher, S. Forti and A. Sboner
open this document and view contents "Boosting" a Positive-Data-Only Learner - Andrew Mitchell
open this document and view contents Investigation and Reduction of Discretization Variance in Decision Tree Induction - Pierre Geurts and Louis Wehenkel
open this document and view contents Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees - Tobias Scheffer
open this document and view contents Discovery Science, Third International Conference, DS 2000, Kyoto, Japan, December 2000, Proceedings - Setsuo Arikawa and Shinichi Morishita
open this document and view contents An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization - Thomas G. Dietterich
open this document and view contents Eligibility Traces for Off-Policy Policy Evaluation - Doina Precup, Richard S. Sutton and Satinder Singh
open this document and view contents MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data - Cenk Kaynak and Ethem Alpaydin
open this document and view contents Structural measures for games and process control in the branch learning model - Matthias Ott and Frank Stephan
open this document and view contents Discovery and Deduction - Masami Hagiya and Koichi Takahashi
open this document and view contents The learnability of exclusive-or expansions based on monotone DNF formulas - Eiji Takimoto, Yoshifumi Sakai and Akira Maruoka
open this document and view contents Synthesizing Context Free Grammars from Sample Strings Based on Inductive CYK Algorithm - Katsuhiko Nakamura and Takashi Ishiwata
open this document and view contents A Polynomial Time Approximation Scheme for Inferring Evolutionary Trees from Quartet Topologies and Its Application - Tao Jiang, Paul Kearney and Ming Li
open this document and view contents Minimum Message Length Grouping of Ordered Data - Leigh J. Fitzgibbon, Lloyd Allison and David L. Dowe
open this document and view contents Constructive Feature Learning and the Development of Visual Expertise - Justus H. Piater and Roderic A. Grupen
open this document and view contents Stochastic Grammatical Inference of Text Database Structure - Matthew Young-Lai and Frank WM. Tompa
open this document and view contents Predicting the Generalization Performance of Cross Validatory Model Selection Criteria - Tobias Scheffer
open this document and view contents Cascade Generalization - João Gama and Pavel Brazdil
open this document and view contents Identification of Tree Translation Rules from Examples - Hiroshi Sakamoto, Hiroki Arimura and Setsuo Arikawa
open this document and view contents Extracting Information from the Web for Concept Learning and Collaborative Filtering - William W. Cohen
open this document and view contents Improving Short-Text Classification Using Unlabeled Background Knowledge to Assess Document Similarity - Sarah Zelikovitz and Haym Hirsh
open this document and view contents Enlarging the Margins in Perceptron Decision Trees - Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor and Donghui Wu
open this document and view contents On the Difficulty of Approximately Maximizing Agreements - Shai Ben-David, Nadav Eiron and Philip M. Long
open this document and view contents Strategies in Combined Learning via Logic Programs - E. Lamma, F. Riguzzi and L. M. Pereira
open this document and view contents Obtaining Simplified Rule Bases by Hybrid Learning - Ricardo Bezerra de Andrade e Silva and Teresa Bernarda Ludermir
open this document and view contents A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms - Tjen-Sien Lim, Wei-Yin Loh and Yu-Shan Shih
open this document and view contents Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning - Mark A. Hall
open this document and view contents Computationally Efficient Transductive Machines - Craig Saunders, Alexander Gammerman and Volodya Vovk
open this document and view contents Implementation Issues in the Fourier Transform Algorithm - Yishay Mansour and Sigal Sahar
open this document and view contents Learning to Predict Performance from Formula Modeling and Training Data - Bryan Singer and Manuela Veloso
open this document and view contents Improved Algorithms for Theory Revision with Queries - Judy Goldsmith, Robert H. Sloan, B. Szörényi and G. Turán
open this document and view contents Anomaly Detection over Noisy Data using Learned Probability Distributions - Eleazar Eskin
open this document and view contents Boosting Applied toe Word Sense Disambiguation - Gerard Escudero, Lluís Màrquez and German Rigau
open this document and view contents Discovering Test Set Regularities in Relational Domains - Seán Slattery and Tom Mitchell
open this document and view contents A Multistrategy Approach to Classifier Learning from Time Series - William H. Hsu, Sylvian R. Ray and David C. Wilkins
open this document and view contents Multistrategy Theory Revision: Induction and Abduction in INTHELEX - Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi and Stefano Ferilli
open this document and view contents Detecting Concept Drift with Support Vector Machines - Ralf Klinkenberg and Thorsten Joachims
open this document and view contents Minimax TD-Learning with Neural Nets in a Markov Game - Fredrik A. Dahl and Ole Martin Halck
open this document and view contents Model Selection and Error Estimation - Peter L. Bartlett, Stéphane Boucheron and Gábor Lugosi
open this document and view contents Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching - M. Sebag and C. Rouveirol
open this document and view contents Dimension Reduction Techniques for Training Polynomial Networks - William M. Campbell, Kari Torkkola and Sreeram V. Balakrishnan
open this document and view contents Learning Multiple Models for Reward Maximization - Dani Goldberg and Maja J. Matarić
open this document and view contents Using Natural Language Processing and Discourse Features to Identify Understanding Errors in a Spoken Dialogue System - Marilyn Walker, Jerry Wright and Irene Langkilde
open this document and view contents Continuous Drifting Games - Yoav Freund and Manfred Opper
open this document and view contents Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study - Stephen Muggleton, Christopher H. Bryant and Ashwin Srinivasan
open this document and view contents Learning Priorities from Noisy Examples - Geoffrey G. Towell, Thomas Petsche and Michael R. Miller
open this document and view contents On the Hardness of Learning Acyclic Conjunctive Queries - Kouichi Hirata
open this document and view contents Wrapper Generation via Grammar Induction - Boris Chidlovskii, Jon Ragetli and Maarten de Rijke
open this document and view contents The Divide-and-Conquer Manifesto - Thomas G. Dietterich
open this document and view contents Machine Learning of Event Segmentation for News on Demand - Stanley Boykin and Andrew Merlino
open this document and view contents A Simple Greedy Algorithm for Finding Functional Relations: Efficient Implementation and Average Case Analysis - Tatsuya Akutsu, Satoru Miyano and Satoru Kuhara
open this document and view contents Lazy Learning of Bayesian Rules - Zijian Zheng and Geoffrey I. Webb
open this document and view contents Learning to Create Customized Authority Lists - Huan Chang, David Cohn and Andrew K. McCallum
open this document and view contents Parallel Attribute-Efficient Learning of Monotone Boolean Functions - Peter Damaschke
open this document and view contents Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations - Sanjay Jain, Efim Kinber and Rolf Wiehagen
open this document and view contents An Approach to Data Reduction and Clustering with Theoretical Guarantees - Partha Niyogi and Narendra Karmarkar
open this document and view contents Disciple-COA: From Agent Programming to Agent Teaching - Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, Michael Bowman, Ping Shyr, Florin Ciucu and Cristian Levcovici
open this document and view contents A Multiple Model Cost-Sensitive Approach for Intrusion Detection - Wei Fan, Wenke Lee, Salvatore J. Stolfo and Matthew Miller
open this document and view contents Automatically Extracting Features for Concept Learning from the Web - William W. Cohen
open this document and view contents An Initial Study of an Adaptive Hierarchical Vision System - Marcus A. Maloof
open this document and view contents Some classes of prolog programs inferable from positive data - M. R. K. Krishna Rao
open this document and view contents Direct Bayes Point Machines - Matthias Rychetsky, John Shawe-Taylor and Manfred Glesner
open this document and view contents Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry - Katja Gelbrich and Reza Nakhaeizadeh
open this document and view contents A Column Generation Algorithm for Boosting - Kristin P. Bennett, Ayhan Demiriz and John Shawe-Taylor
open this document and view contents Permutations and Control Sets for Learning Non-regular Language Families - Henning Fernau and Jose M. Sempere:
open this document and view contents State-based Classification of Finger Gestures from Electromyographic Signals - Peter Ju, Leslie Pack Kaelbling and Yoram Singer
open this document and view contents Rates of Convergence for Variable Resolution Schemes in Optimal Control - Rémi Munos and Andrew W. Moore
open this document and view contents Local Expert Autoassociators for Anomaly Detection - Geoffrey G. Towell
open this document and view contents Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing Map Algorithm - Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta and Makoto Amamiya
open this document and view contents A Unifying Approach to HTML Wrapper Representation and Learning - Gunter Grieser, Klaus P. Jantke, Steffen Lange and Bernd Thomas
open this document and view contents Polynomial Time Learnability of Simple Deterministic Languages from MAT and a Representative Sample - Yasuhiro Tajima, Etsuji Tomita and Mitsuo Wakatsuki
open this document and view contents Combining Multiple Perspectives - Bikramjit Banerjee, Sandip Debnath and Sandip Sen
open this document and view contents Less is More: Active Learning with Support Vector Machines - Greg Schohn and David Cohn
open this document and view contents Meta-Learning by Landmarking Various Learning Algorithms - Bernhard Pfahringer, Hilan Bensusan and Christophe Giraud-Carrier
open this document and view contents Text Classification from Labeled and Unlabeled Documents using EM - Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun and Tom Mitchell
open this document and view contents Model Selection Criteria for Learning Belief Nets: An Empirical Comparison - Tim Van Allen and Russ Greiner
open this document and view contents Finding Variational Structure in Data by Cross-Entropy Optimization - Matthew Brand
open this document and view contents Efficient Mining from Large Database by Query Learning - Hiroshi Mamitsuka and Naoki Abe
open this document and view contents A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models - Cen Li and Gautam Biswas
open this document and view contents Characterizing Model Errors and Differences - Stephen D. Bay and Michael J. Pazzani
open this document and view contents Self-Duality of Bounded Monotone Boolean Functions and Related Problems - Daya Ram Gaur and Ramesh Krishnamurti
open this document and view contents Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata - Colin De La Higuera and Franck Thollard
open this document and view contents Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers - Tom Brijs, Gilbert Swinnen, Koen Vanhoof and Geert Wets
open this document and view contents Challenges of the Email Domain for Text Classification - Jake D. Brutlag and Christopher Meek
open this document and view contents Discovering the Structure of Partial Differential Equations from Example Behavior - Ljupčo Todorovski, Sašo Džeroski, Ashwin Srinivasan, Jonathan Whiteley and David Gavaghan
open this document and view contents Sparsity vs. Large Margins for Linear Classifiers - Ralf Herbrich, Thore Graepel and John Shawe-Taylor
open this document and view contents Generalisation Error Bounds for Sparse Linear Classifiers - Thore Graepel, Ralf Herbrich and John Shawe-Taylor
open this document and view contents Relative Loss Bounds for Temporal-Difference Learning - Jürgen Forster and Manfred Warmuth
open this document and view contents Exact learning via teaching assistants - V. Arvind and N. V. Vinodchandran
open this document and view contents Proceedings of the Thirteenth Annual Conference on Computational Learning Theory - N. Cesa-Bianchi and S. Goldman
open this document and view contents A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets - Paul Komarek and Andrew Moore
open this document and view contents BoosTexter: A Boosting-based System for Text Categorization - Robert E. Schapire and Yoram Singer
open this document and view contents Inference of Finite-State Transducers by Using Regular Grammars and Morphisms - F. Casacuberta
open this document and view contents On the Convergence Rate of Good-Turing Estimators - David McAllester and Robert E. Schapire
open this document and view contents Selective Voting for Perceptron-like Online Learning - Yi Li
open this document and view contents Multiple Comparisons in Induction Algorithms - David D. Jensen and Paul R. Cohen
open this document and view contents Locally Weighted Projection Regression: An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space - Sethu Vijayakumar and Stefan Schaal
open this document and view contents Learning Context-Free Grammars from Partially Structured Examples - Yasubumi Sakakibara and Hidenori Muramatsu
open this document and view contents Decision Tree Approximations of Boolean Functions - Dinesh Mehta and Vijay Raghavan
open this document and view contents Knowledge Propagation in Model-based Reinforcement Learning Tasks - Corinna Richter and Jörg Stachowiak
open this document and view contents Mixtures of Factor Analyzers - Geoffrey McLachlan
open this document and view contents Analyzing Relational Learning in the Phase Transition Framework - Attilio Giordana, Lorenza Saitta, Michele Sebag and Marco Botta
open this document and view contents Multi Level Knowledge in Modeling Qualitative Physics Learning - Filippo Neri
open this document and view contents Leveraging for Regression - Nigel Duffy and David Helmbold
open this document and view contents How rich is the structure of the intrinsic complexity of learning - Andris Ambainis
open this document and view contents Using Upper Confidence Bounds for Online Learning - Peter Auer
open this document and view contents Learning Recursive Concepts with Anomalies - Gunter Grieser, Steffen Lange and Thomas Zeugmann
open this document and view contents On-line Learning for Humanoid Robot Systems - Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar and Stefan Schaal
open this document and view contents Team Learning of Computable Languages - Sanjay Jain and Arun Sharma
open this document and view contents A Quantification of Distance-Bias Between Evaluation Metrics In Classification - Ricardo Vilalta and Daniel Oblinger
open this document and view contents Probabilistic k-Testable Tree Languages - Juan Ramón Rico-Juan, Jorge Calera-Rubio and Rafael C. Carrasco
open this document and view contents Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning - David McKoskey and Daniel Boley
open this document and view contents A Polynomial Time Learning Algorithm Simple Deterministic Languages via Membership Queries and a Representative Sample - Yasuhiro Tajima and Etsuji Tomita
open this document and view contents Testing of Clustering - Noga Alon, Seannie Dar, Michal Parnas and Dana Ron
open this document and view contents Why Discretization Works for Na\"ıve Bayesian Classifiers - Chun-Nan Hsu, Hung-Ju Huang and Tzu-Tsung Wong
open this document and view contents Reduction Techniques for Instance-Based Learning Algorithms - D. Randall Wilson and Tony R. Martinez
open this document and view contents Adaptive and Self-Confident On-Line Learning Algorithms - Peter Auer and Claudio Gentile
open this document and view contents Fixed Points of Approximate Value Iteration and Temporal-Difference Learning - Daniela Pucci de Farias and Benjamin Van Roy
open this document and view contents Statistical Sufficiency for Classes in Empirical L2 Spaces - Shahar Mendelson and Naftali Tishby
open this document and view contents Unpacking Multi-valued Symbolic Features and Classes in Memory-based Language Learning - Antal van den Bosch and Jakub Zavrel
open this document and view contents Automatic Identification of Mathematical Concepts - Simon Colton, Alan Bundy and Toby Walsh
open this document and view contents Layered Learning - Peter Stone and Manuela M. Veloso
open this document and view contents Computation of Substring Probabilities in Stochastic Grammars - Ana L. N. Fred
open this document and view contents Data as Ensembles of Records: Representation and Comparison - Nicholas R. Howe
open this document and view contents Vacillatory and BC learning on noisy data - John Case, Sanjay Jain and Frank Stephan
open this document and view contents Discriminative Reranking for Natural Language Parsing - Michael Collins
open this document and view contents Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning - Jun Morimoto and Kenji Doya
open this document and view contents Distribution-balanced stratified cross-validation for accuracy estimation - Xinchuan Zeng and Tony R. Martinez
open this document and view contents LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning - Ryszard S. Michalski
open this document and view contents An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoner - Barry Smyth and Elizabeth McKenna
open this document and view contents Incremental Learning in SwiftFile - Richard B. Segal and Jeffrey O. Kephart
open this document and view contents Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse - Tadashi Nomoto and Yuji Matsumoto
open this document and view contents Combining multiple learning strategies for effective cross validation - Yiming Yang, Thomas Ault and Thomas Pierce
open this document and view contents A discipline of evolutionary programming - Paul Vitányi
open this document and view contents Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters - Yuri Kalnishkan
open this document and view contents Computational Sample Complexity and Attribute-Efficient Learning - Rocco A. Servedio
open this document and view contents Learning functions represented as multiplicity automata - Amos Beimel, Francesco Bergadano, Nader H. Bshouty, Eyal Kushilevitz and Stefano Varricchio
open this document and view contents Entropy Numbers of Linear Function Classes - Robert C. Williamson, Alex J. Smola and Bernhard Schölkopf
open this document and view contents The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms - Jinyan Li and Kotagiri Ramamohanarao
open this document and view contents Counting Extensional Differences in BC-Learning - Frank Stephan and Sebastiaan A. Terwijn
open this document and view contents On the Relationship between Models for Learning in Helpful Environments - Rajesh Parekh and Vasant Honavar
open this document and view contents More theory revision with queries (extended abstract) - Judy Goldsmith and Robert H. Sloan
open this document and view contents Achieving Efficient and Congnitively Plausible Learning in Backgammon - Scott Sanner, John R. Anderson, Christian Lebiere and Marsha Lovett
open this document and view contents A Nonparametric Approach to Noisy and Costly Optimization - Brigham S. Anderson, Andrew W. Moore and David Cohn
open this document and view contents Dynamic Discretization of Continuous Values from Time Series - Llanos Mora López, Inmaculada Fortes Ruiz, Rafael Morales Bueno and Francisco Triguero Ruiz
open this document and view contents Dynamic Feature Selection in Incremental Hierarchical Clustering - Luis Talavera
open this document and view contents A Unified Bias-Variance Decomposition and its Applications - Pedro Domingos
open this document and view contents Induction of Concept Hierarchies from Noisy Data - Blaž Zupan, Ivan Bratko, Marko Bohanec and Janez Demšar
open this document and view contents Dimensionality Reduction through Sub-space Mapping for Nearest Neighbor Algorithms - Terry R. Payne and Peter Edwards
open this document and view contents Smoothing Probabilistic Automata: An Error-Correcting Approach - Pierre Dupont and Juan-Carlos Amengual
open this document and view contents A Probability Analysis on the Value of Unlabeled Data for Classification Problems - Tong Zhang and Frank J. Oles
open this document and view contents Learning Declarative Control Rules for Constraint-Based Planning - Yi-Cheng Huang, Bart Selman and Henry Kautz
open this document and view contents Learning Patterns of Behavior by Observing System Events - Marlon Núñez
open this document and view contents PACS, simple-PAC and query learning - Jorge Castro and David Guijarro
open this document and view contents Design Aspects of Discovery Systems - Osamu Maruyama and Satoru Miyano
open this document and view contents Learning Taxonomic Relation by Case-Based Reasoning - Ken Satoh
open this document and view contents Noise-tolerant learning, the parity problem, and the statistical query model - Avrim Blum, Adam Kalai and Hal Wasserman
open this document and view contents Classification of Individuals with Complex Structure - A. F. Bowers, C. Giraud-Carrier and J. W. Lloyd
open this document and view contents Enhancing Supervised Learning with Unlabeled Data - Sally Goldman and Yan Zhou
open this document and view contents A Note on the Generalization Performance of Kernel Classifiers with Margin - Theodoros Evgeniou and Massimiliano Pontil
open this document and view contents Editorial - Arun Sharma
open this document and view contents Approximate Dimension Equalization in Vector-based Information Retrieval - Fan Jiang and Michael L. Littman
open this document and view contents Metric-Based Inductive Learning Using Semantic Height Functions - Zdravko Markov and Ivo Marinchev
open this document and view contents Language Learning with a Neighbor System - Yasuhito Mukouchi and Masako Sato
open this document and view contents Experimental Results on Q-Learning for General-Sum Stochastic Games - Junling Hu and Michael P. Wellman
open this document and view contents Computable Shell Decomposition Bounds - John Langford and David McAllester
open this document and view contents Knowledge Representation Issues in Control Knowledge Learning - Ricardo Aler, Daniel Borrajo and Pedro Isasi
open this document and view contents Selecting Examples for Partial Memory Learning - Marcus A. Maloof and Ryszard S. Michalski
open this document and view contents Relative Unsupervised Discretization for Regression Problems - Marcus-Christopher Ludl and Gerhard Widmer
open this document and view contents Behavioral Cloning of Student Pilots with Modular Neural Networks - Charles W. Anderson, Bruce A. Draper and David A. Peterson
open this document and view contents Improving Algorithms for Boosting - Javed A. Aslam
open this document and view contents Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling - DaeEun Kim and Jaeho Lee
open this document and view contents Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning - Javier Béjar
open this document and view contents Sequential Sampling Techniques for Algorithmic Learning Theory - Osamu Watanabe
open this document and view contents K-SVRC. A Multi-class Support Vector Machine - Andreu Català Cecilio Angulo
open this document and view contents Learning unions of high-dimensional boxes over the reals - Amos Beimel and Eyal Kushilevitz
open this document and view contents Average-Case Complexity of Learning Polynomials - Frank Stephan and Thomas Zeugmann
open this document and view contents Structural Results about Exact Learning with Unspecified Attribute Values - Andreas Birkendorf, Norbert Klasner, Christian Kuhlmann and Hans Ulrich Simon
open this document and view contents Diversity versus Quality in Classification Ensembles Based on Feature Selection - Padraig Cunningham and John Carney
open this document and view contents Voting Nearest-Neighbor Subclassifiers - Miroslav Kubat and Jr. Martin Cooperson
open this document and view contents On the Learnability and Design of Output Codes for Multiclass Problems - Koby Cramer and Yoram Singer
open this document and view contents On Approximate Learning by Multi-layered Feedforward Circuits - Bhaskar DasGupta and Barbara Hammer
open this document and view contents A Machine Learning Approach to POS Tagging - L. Màrquez, L. Padró and H. Rodriguez
open this document and view contents Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning - Peter L. Bartlett and Jonathan Baxter
open this document and view contents Some Improvements on Event-Sequence Temporal Region Methods - Wei Zhang
open this document and view contents Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space - Alberto Paccanaro and Geoffrey E. Hinton
open this document and view contents Sample Complexity of Model-Based Search - Christopher D. Rosin
open this document and view contents TPOT-RL Applied to Network Routing - Peter Stone
open this document and view contents P-sufficient statistics for PAC learning k-term-DNF formulas through enumeration - B. Apolloni and C. Gentile
open this document and view contents Learning to Select Text Databases with Neural Nets - Yong S. Choi and Suk I. Yoo
open this document and view contents Bayesian Averaging of Classifiers and the Overfitting Problem - Pedro Domingos
open this document and view contents Learning Bayesian Networks for Diverse and Varying Numbers of Evidence Sets - Zu Whan Kim and Ramakant Nevatia
open this document and view contents Problem Decomposition for Behavioural Cloning - Dorian Suc and Ivan Bratko
open this document and view contents Constructive Learning of Context-Free Languages with a Subpansive Tree - Noriko Sugimoto, Takashi Toyoshima, Shinichi Shimozono and Kouichi Hirata
open this document and view contents Upper and Lower Bounds on the Learning Curve for Gaussian Processes - Christopher K. I. Williams and Francesco Vivarelli
open this document and view contents Discovering Homogeneous Regions in Spatial Data through Competition - Slobodan Vucetic and Zoran Obradovic
open this document and view contents EM Algorithm with Split and Merge Operations for Mixture Models - Naonori Ueda and Ryohei Nakano
open this document and view contents Enhancing the Plausibility of Law Equation Discovery - Takashi Washio, Hiroshi Motoda and Yuji Niwa
open this document and view contents Estimating the Generalization Performance of an SVM Efficiently - Thorsten Joachims
open this document and view contents Combining Reinforcement Learning with a Local Control Algorithm - Jette Randløv, Andrew G. Barto and Michael T. Rosenstein
open this document and view contents Using Multiple Levels of Learning and Diverse Evidence Sources to Uncover Coordinately Controlled Genes - Mark Craven, David Page, Jude Shavlik, Joseph Bockhorst and Jeremy Glasner
open this document and view contents Inductive Logic Programming: From Logic of Discovery to Machine Learning - Hiroki Arimura and Akihiro Yamamoto
open this document and view contents Learing Horn Expressions with LogAn-H - Roni Khardon
open this document and view contents Relative Expexted Instantaneous Loss Bounds - Jürgen Forster and Manfred Warmuth
open this document and view contents The Degenerate Science of Machine Learning - Bat Gangly
open this document and view contents Sharper Bounds for the Hardness of Prototype and Feature Selection - Richard Nock and Marc Sebban
open this document and view contents On the Boosting Pruning Problem - Christino Tamon and Jie Xiang
open this document and view contents Markov Processes on Curves - Lawrence K. Saul and Mazin G. Rahim
open this document and view contents An Inverse Limit of Context-Free Grammars - A New Approach to Identifiability in the Limit - Pavel Martinek
open this document and view contents On-line Learning and the Metrical Task System Problem - Avrim Blum and Carl Burch
open this document and view contents Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning - Stuart I. Reynolds
open this document and view contents Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm - Filippo Neri
open this document and view contents Machine Learning for Information Extraction in Informal Domains - Dayne Freitag
open this document and view contents Learning to Play Chess Using Temporal Differences - Jonathan Baxter, Andrew Tridgell and Lex Weaver
open this document and view contents Localizing Policy Gradient Estimates to Action Transitions - Gregory Z. Grudic and Lyle H. Ungar
open this document and view contents Short-Term Profiling for a Case-Based Reasoning - Esma A\"ımeur and Mathieu Vézeau
open this document and view contents Learning Erasing Pattern Languages with Queries - Jochen Nessel and Steffen Lange
open this document and view contents Constructing X-of-N Attributes for Decision Tree Learning - Zijian Zheng
open this document and view contents Iterated Transductions and Efficient Learning from Positive Data: A Unifying View - Satoshi Kobayashi
open this document and view contents ogistic Regression, AdaBoost and Bregman Distances - Michael Collins, Robert E. Schapire and Yoram Singer
open this document and view contents Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web - Filippo Menczer and Richard K. Belew
open this document and view contents On the Noise Model of Support Vector Machines Regression - Massimiliano Pontil, Sayan Mukherjee and Federico Girosi
open this document and view contents Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies - Louis Talavera
open this document and view contents The Representation Race - Preprocessing for Handling Time Phenomena - Katharina Morik
open this document and view contents Ideal Theory Refinement under Object Identity - Floriana Esposito, Nicola Fanizzi, Stefano Ferilli and Giovanni Semeraro
open this document and view contents Selection of Support Vector Kernel Parameters for Improved Generalization - Loo-Nin Teow and Kia-Fock Loe
open this document and view contents Nonparametric Regularization of Decision Trees - Tobias Scheffer
open this document and view contents Rough Sets and Ordinal Classification - Jan C. Bioch and Viara Popova
open this document and view contents Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition - T. G. Dietterich
open this document and view contents Improved bounds about on-line learning of smooth-functions of a single variable, - Philip M. Long
open this document and view contents Applying formal concepts to learning systems validation - Volker Dötsch, Gunter Grieser and Steffen Lange
open this document and view contents Learning Regular Languages Using Non Deterministic Finite Automata - François Denis, Aurélien Lemay and Alain Terlutte
open this document and view contents Hypotheses Finding via Residue Hypotheses with the Resolution Principle - Akihiro Yamamoto and Bertram Fronhöfer
open this document and view contents The Minimax Strategy for Gaussian Density Estimation - Eiji Takimoto and Manfred Warmuth
open this document and view contents A Formalism for Relevance and Its Application in Feature Subset Selection - David A. Bell and Hui Wang
open this document and view contents Pseudo-convergent Q-Learning by Competitive Pricebots - Jeffrey O. Kephart and Gerald J. Tesauro
open this document and view contents Bias-Variance Error Bounds for Temporal Difference Updates - Michael Kearns and Satinder Singh
open this document and view contents Bottom-Up Induction of Feature Terms - Eva Armengol and Enric Plaza
open this document and view contents Learning to Probabilistically Identify Authoritative Documents - David Cohn and Huan Chang
open this document and view contents Generalization Bounds for Decision Trees - Yishay Mansour and David McAllester
open this document and view contents MadaBoost: A Modification of AdaBoost - Carlos Domingo and Osamu Watanabe
open this document and view contents Multistrategy Discovery and Detection of Novice Programmer Errors - Raymund C. Sison, Masayuki Numao and Masamichi Shimura
open this document and view contents MultiBoosting: A Technique for Combining Boosting and Wagging - Geoffrey I. Webb
open this document and view contents Improved Generalization Through Explicit Optimization of Margins - Llew Mason, Peter L. Bartlett and Jonathan Baxter
open this document and view contents An Average-Case Optimal One-Variable Pattern Language Learner - Rüdiger Reischuk and Thomas Zeugmann
open this document and view contents Duality and Geometry in SVM Classifiers - Kristin P. Bennett and Erin J. Bredensteiner
open this document and view contents Inferring Subclasses of Contextual Languages - J. D. Emerald, K. G. Subramanian and D. G. Thomas
open this document and view contents An Adaptive Regularization Criterion for Supervised Learning - Dale Schuurmans and Finnegan Southey
open this document and view contents Learning Chomsky-like Grammars for Biological Sequence Families - S. H. Muggleton, C. H. Bryant and A. Srinivasan
open this document and view contents Learning languages and functions by erasing - Sanjay Jain, Efim Kinber, Steffen Lange, Rolf Wiehagen and Thomas Zeugmann
open this document and view contents An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems - Martin Lauer and Martin Riedmiller
open this document and view contents Empirical Bayes for Learning to Learn - Tom Heskes
open this document and view contents The Induction of Temporal Grammatical Rules from Multivariate Time Series - Gabriela Guimarães
open this document and view contents Learning Context-Free Grammars with a Simplicity Bias - Pat Langley and Sean Stromsten
open this document and view contents Adaptive Versus Nonadaptive Attribute-Efficient Learning - Peter Damaschke
open this document and view contents Abstract Combinatorial Characterizations of Exact Learning via Queries - Jose Luis Balcázar, Jorge Castro and David Guijarro
open this document and view contents Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices - Kitsana Waiyamai and Lotfi Lakhal
open this document and view contents Maximum Entropy Markov Models for Information Extraction and Segmentation - Andrew McCallum, Dayne Freitag and Fernando Pereira
open this document and view contents Identification of Function Distinguishable Languages - Henning Fernau
open this document and view contents Learning in Non-stationary Conditions: A Control Theoretic Approach - Jefferson Coelho and Rod Grupen
open this document and view contents Phase Transitions in Relational Learning - Attilio Giordana and Lorenza Saitta
open this document and view contents Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality - Franck Thollard, Pierre Dupont and Colin de la Higuera
open this document and view contents Meta-Learning for Phonemic Annotation of Corpora - Véronique Hoste, Walter Daelemans, Erik Tjong Kim Sang and Steven Gillis
open this document and view contents Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers - Dragos D. Margineantu and Thomas G. Dietterich
open this document and view contents A Comparative Study of Cost-Sensitive Boosting Algorithms - Kai Ming Ting
open this document and view contents Algorithm Selection using Reinforcement Learning - Michail G. Lagoudakis and Michael L. Littman
open this document and view contents A Machine Learning Approach to Workflow Management - Joachim Herbst
open this document and view contents Polynomial-time Learning of Elementary Formal Systems - Satoru Miyano, Ayumi Shinohara and Takeshi Shinohara
open this document and view contents Using Learning by Discovery to Segment Remotely Sensed Images - Leen-Kiat Soh and Costas Tsatsoulis
open this document and view contents Hardness Results for General Two-Layer Neural Networks - Christian Kuhlmann
open this document and view contents Partial Linear Trees - Lu\'ıs Torgo
open this document and view contents Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination - Machiel Westerdijk and Wim Wiegerinck
open this document and view contents Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots - Daniel Nikovski and Illah Nourbakhsh
open this document and view contents Feature Subset Selection and Order Identification for Unsupervised Learning - Jennifer G. Dy and Carla E. Brodley
open this document and view contents Maximizing Theory Accuracy Through Selective Reinterpretation - Shlomo Argamon-Engelson, Moshe Koppel and Hillel Walters
open this document and view contents Learning to Fly: An Application of Hierarchical Reinforcement Learning - Malcolm Ryan and Mark Reid
open this document and view contents FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness - Joseph O'Sullivan, John Langford, Rich Caruana and Avrim Blum
open this document and view contents Randomizing Outputs to Increase Prediction Accuracy - Leo Breiman
open this document and view contents Machine Learning for Subproblem Selection - Robert Moll, Theodore J. Perkins and Andrew G. Barto
open this document and view contents Logical Analysis of Data with Decomposable Structures - Hirotaka Ono, Kazuhisa Makino and Toshihide Ibaraki
open this document and view contents Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data - Terran Lane and Carla E. Brodley
open this document and view contents Learning from Positive and Unlabeled Examples - Fabien Letouzey, François Denis and Rémi Gilleron
open this document and view contents Learning Changing Concepts by Exploiting the Structure of Change - Peter L. Bartlett, Shai Ben-David and Sanjeev R. Kulkarni
open this document and view contents Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns - Emmanuel Morin and Emmanuelle Martienne
open this document and view contents Special Issue of Machine Learning on Information Retrieval Introduction - Jaime Carbonell, Yiming Yang and William Cohen
open this document and view contents Learning Filaments - Geoffrey J. Gordon and Andrew Moore
open this document and view contents Conceptual Classifications Guided by a Concept Hierarchy - Yuhsuke Itoh and Makoto Haraguchi
open this document and view contents The Effect of the Input Density Distribution on Kernel-based Classifiers - Christopher K. I. Williams and Matthias Seeger
open this document and view contents On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries - Jeffrey Jackson
open this document and view contents Clustering the Users of Large Web Sites into Communities - Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis and Constantine D. Spyropoulos
open this document and view contents A Study on the Performance of Large Bayes Classifier - Dimitris Meretakis, Hongjun Lu and Beat Wüthrich
open this document and view contents Unlearning Helps - Ganesh Baliga, John Case, Wolfgang Merkle and Frank Stephan
open this document and view contents A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions - Rémi Munos
open this document and view contents A Probabilistic Identification Result - Eric McCreath
open this document and view contents The Last-Step Minimax Algorithm - Eiji Takimoto and Manfred K. Warmuth
open this document and view contents Sparse Greedy Matrix Approximation for Machine Learning - Alex J. Smola and Bernhard Schölkopf
open this document and view contents Beyond Occam's Razor: Process-Oriented Evaluation - Pedro Domingos
open this document and view contents Shaping in Reinforcement Learning by Changing the Physics of the Problem - Jette Randløv
open this document and view contents A Bayesian Framework for Reinforcement Learning - Malcolm Strens
open this document and view contents Image Color Constancy Using EM and Cached Statistics - Charles Rosenberg
open this document and view contents Towards an Algorithmic Statistics - Peter Gács, John Tromp and Paul Vitányi
open this document and view contents Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing - Laurent Bréhélin, Olivier Gascuel and Gilles Caraux
open this document and view contents The Complexity of Densest Region Detection - Shai Ben-David, Nadav Eiron and Hans Ulrich Simon
open this document and view contents Using Knowledge to Speed Learning: A Comparison Knowledge-based Cascade-correlation and Multi-task Learning - Thomas R. Shultz and Francois Rivest
open this document and view contents A Divide and Conquer Approach to Learning from Prior Knowledge - Eric Chown and Thomas G. Dietterich
open this document and view contents Support Vector Machine Active Learning with Applications to Text Classification - Simon Tong and Daphne Koller
open this document and view contents Multi-Agent Q-learning and Regression Trees for Automated Pricing Decisions - Manu Sridharan and Gerald Tesauro
open this document and view contents Reinforcement Learning in POMDP's via Direct Gradient Ascent - Jonathan Baxter and Peter L. Bartlett
open this document and view contents Toward an Explanatory Similarity Measure for Nearest-Neighbor Classification - Mathieu Latourrette
open this document and view contents X-means: Extending K-means with Efficient Estimation of the Number of Clusters - Dan Pelleg and Andrew Moore
open this document and view contents Nonparametric Time Series Prediction Through Adaptive Model Selection - Ron Meir
open this document and view contents A Normative Examination of Ensemble Learning Algorithms - David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles and Eric Horvitz
open this document and view contents Combination of Estimation Algorithms and Grammatical Inference Techniques to Learn Stochastic Context-Free Grammars - Francisco Nevado, Joan-Andreu Sánchez and José -Miguel Bened\'ı
open this document and view contents Lightweight Rule Induction - Sholom M. Weiss and Nitin Indurkhya
open this document and view contents Convergence Problems of General-Sum Multiagent Reinforcement Learning - Michael Bowling
open this document and view contents A Model of Inductive Bias Learning - J. Baxter
open this document and view contents Robust Learning Aided by Context - John Case, Sanjay Jain, Matthias Ott, Arun Sharma and Frank Stephan
open this document and view contents Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme - Carsten Lanquillon
open this document and view contents Refining Numerical Constants in First Order Logic Theories - Marco Botta and Roberto Piola
open this document and view contents Practical Reinforcement Learning in Continuous Spaces - William D. Smart and Leslie Pack Kaelbling
open this document and view contents A Comparison of Ranking Methods for Classification Algorithm Selection - Pavel Brazdil and Carlos Soares
open this document and view contents Learning from Approximate Data - Shirley Cheung
open this document and view contents A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System - Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara and Yasuaki Nakamura
open this document and view contents Boosting Using Branching Programs - Yishay Mansour and David McAllester
open this document and view contents Barrier Boosting - G. Rätsch, M. Warmuth, S. Mika, T. Onoda, S. Lemm and K. R. Müller
open this document and view contents Localized Boosting - Ron Meir, Ran El-Yaniv and Shai Ben-David
open this document and view contents Hierarchical Unsupervised Learning - Shivakumar Vaithyanathan and Byron Dom
open this document and view contents Generalized Average-Case Analyses of the Nearest Neighbor Algorithm - Seishi Okamoto and Nobuhiro Yugami
open this document and view contents The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks - Andrzej Izworski, Ryszard Tadeusiewicz and Andrzej Paslawski
open this document and view contents Online Ensemble Learning: An Empirical Study - Alan Fern and Robert Givan
open this document and view contents Minimum description length induction, Bayesianism, and Kolmogorov complexity - P. M. Vitányi and M. Li
open this document and view contents Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers - Erin L. Allwein, Robert E. Schapire and Yoram Singer
open this document and view contents Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval - Keith Hall and Thomas Hofmann
open this document and view contents An Improved On-line Algorithm for Learning Linear Evaluation Functions - Peter Auer
open this document and view contents An Empirical Study of MetaCost Using Boosting Algorithms - Kai Ming Ting
open this document and view contents Clustered Partial Linear Regression - Luíz Torgo and Joaquim Pinto da Costa
open this document and view contents Instance Pruning as an Information Preserving Problem - Marc Sebban and Richard Nock
Septemberopen this document and view contents On-Line Learning with Linear Loss Constraints - David P. Helmbold, Nicholas Littlestone and Philip M. Long
open this document and view contents Apple Tasting - David P. Helmbold, Nicholas Littlestone and Philip M. Long
Decemberopen this document and view contents Testing Problems with Sublearning Sample Complexity - Michael Kearns and Dana Ron
open this document and view contents Inductive Synthesis of Recursive Processes from Logical Properties - Shigetomo Kimura, Atsushi Togashi and Norio Shiratori
open this document and view contents Algorithmic Learning Theory, 11th International Conference, ALT 2000, Sydney, Australia, December 2000, Proceedings - Hiroki Arimura and Sanjay Jain and Arun Sharma
open this document and view contents The Lob-Pass Problem - Jun-ichi Takeuchi, Naoki Abe and Shun-ichi Amari