Guest Editors' Introduction
Learning Function-Free Horn Expressions
Large Margin Classification Using the Perceptron Algorithm
Improved Boosting Algorithms Using Confidence-rated Predictions
The Complexity of Learning According to Two Models of a Drifting Environment
Some PAC-Bayesian Theorems
Projection Learning
On the Sample Complexity for Nonoverlapping Neural Networks
Effective and Efficient Knowledge Base Refinement
An Introduction to Variational Methods for Graphical Models
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns
Minimum Generalization Via Reflection: A Fast Linear Threshold Learner
Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones
Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries