Editorial
Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs
Latent Classification Models
On Discriminative Bayesian Network Classifiers and Logistic Regression
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers
TAN Classifiers Based on Decomposable Distributions
Evolving Soccer Keepaway Players Through Task Decomposition
A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification
Multicategory Proximal Support Vector Machine Classifiers
Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning
Internal Regret in On-Line Portfolio Selection
Logistic Model Trees