Machine Learning, Volume 41, 2000

Volume 41, Number 1, October 2000

Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten: Naive Bayes for Regression (Technical Note). 5-25
Marcus A. Maloof, Ryszard S. Michalski: Selecting Examples for Partial Memory Learning. 27-52
Zijian Zheng, Geoffrey I. Webb: Lazy Learning of Bayesian Rules. 53-84
Claire Cardie: A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners. 85-116

Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walters: Maximizing Theory Accuracy Through Selective Reinterpretation. 123-152
Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni: Learning Changing Concepts by Exploiting the Structure of Change. 153-174
David A. Bell, Hui Wang: A Formalism for Relevance and Its Application in Feature Subset Selection. 175-195
Peter Damaschke: Adaptive Versus Nonadaptive Attribute-Efficient Learning. 197-215
Attilio Giordana, Lorenza Saitta: Phase Transitions in Relational Learning. 217-251

Eva Armengol, Enric Plaza: Bottom-Up Induction of Feature Terms. 259-294
Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu: Enlarging the Margins in Perceptron Decision Trees. 295-313
Joao Gama, Pavel Brazdil: Cascade Generalization. 315-343
Lawrence K. Saul, Mazin G. Rahim: Markov Processes on Curves. 345-363