Bottom-Up Induction of Feature Terms
Enlarging the Margins in Perceptron Decision Trees
Cascade Generalization
Markov Processes on Curves
Maximizing Theory Accuracy Through Selective Reinterpretation
Learning Changing Concepts by Exploiting the Structure of Change
A Formalism for Relevance and Its Application in Feature Subset Selection
Adaptive Versus Nonadaptive Attribute-Efficient Learning
Phase Transitions in Relational Learning
Technical Note: Naive Bayes for Regression
Selecting Examples for Partial Memory Learning
Lazy Learning of Bayesian Rules
A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners