MLJ 2000

43 papers

A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners Claire Cardie

A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih

A Formalism for Relevance and Its Application in Feature Subset Selection David A. Bell, Hui Wang

A Machine Learning Approach to POS Tagging Lluís Màrquez, Lluís Padró, Horacio Rodríguez

A Multistrategy Approach to Classifier Learning from Time Series William H. Hsu, Sylvian R. Ray, David C. Wilkins

A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions Rémi Munos

Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web Filippo Menczer, Richard K. Belew

Adaptive Versus Nonadaptive Attribute-Efficient Learning Peter Damaschke

An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization Thomas G. Dietterich

Any-Time Relational Reasoning: Resource-Bounded Induction and Deduction Through Stochastic Matching Michèle Sebag, Céline Rouveirol

BoosTexter: A Boosting-Based System for Text Categorization Robert E. Schapire, Yoram Singer

Bottom-up Induction of Feature Terms Eva Armengol, Enric Plaza

Cascade Generalization João Gama, Pavel Brazdil

Constructing X-of-N Attributes for Decision Tree Learning Zijian Zheng

Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms Satinder Singh, Tommi S. Jaakkola, Michael L. Littman, Csaba Szepesvári

Enlarging the Margins in Perceptron Decision Trees Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu

Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-Based Neural Networks Brendan Davis Burns, Andrea Pohoreckyj Danyluk

Implementation Issues in the Fourier Transform Algorithm Yishay Mansour, Sigal Sahar

Improved Generalization Through Explicit Optimization of Margins Llew Mason, Peter L. Bartlett, Jonathan Baxter

Lazy Learning of Bayesian Rules Zijian Zheng, Geoffrey I. Webb

Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning Ryszard S. Michalski

Learning Changing Concepts by Exploiting the Structure of Change Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni

Learning to Play Chess Using Temporal Differences Jonathan Baxter, Andrew Tridgell, Lex Weaver

Machine Learning for Information Extraction in Informal Domains Dayne Freitag

Markov Processes on Curves Lawrence K. Saul, Mazin G. Rahim

Maximizing Theory Accuracy Through Selective Reinterpretation Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walters

Multi Level Knowledge in Modeling Qualitative Physics Learning Filippo Neri

MultiBoosting: A Technique for Combining Boosting and Wagging Geoffrey I. Webb

Multiple Comparisons in Induction Algorithms David D. Jensen, Paul R. Cohen

Multistrategy Discovery and Detection of Novice Programmer Errors Raymund Sison, Masayuki Numao, Masamichi Shimura

Multistrategy Theory Revision: Induction and Abduction in INTHELEX Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli

Naive Bayes for Regression (Technical Note) Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten

Nonparametric Time Series Prediction Through Adaptive Model Selection Ron Meir

On-Line Learning and the Metrical Task System Problem Avrim Blum, Carl Burch

Phase Transitions in Relational Learning Attilio Giordana, Lorenza Saitta

Randomizing Outputs to Increase Prediction Accuracy Leo Breiman

Reduction Techniques for Instance-Based Learning Algorithms D. Randall Wilson, Tony R. Martinez

Refining Numerical Constants in First Order Logic Theories Marco Botta, Roberto Piola

Selecting Examples for Partial Memory Learning Marcus A. Maloof, Ryszard S. Michalski

Stochastic Grammatical Inference of Text Database Structure Matthew Young-Lai, Frank Wm. Tompa

Strategies in Combined Learning via Logic Programs Evelina Lamma, Fabrizio Riguzzi, Luís Moniz Pereira

Text Classification from Labeled and Unlabeled Documents Using EM Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, Tom M. Mitchell

Upper and Lower Bounds on the Learning Curve for Gaussian Processes Christopher K. I. Williams, Francesco Vivarelli