1. Editorial

   • Pedro Larrañaga
   • Jose A. Lozano
   • Iñaki Inza

   Editorial Pages: 211 - 212

2. Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs

   • Silvia Acid
   • Luis M. de Campos
   • Javier G. Castellano

   OriginalPaper Pages: 213 - 235

3. Latent Classification Models

   • Helge Langseth
   • Thomas D. Nielsen

   OriginalPaper Pages: 237 - 265

4. On Discriminative Bayesian Network Classifiers and Logistic Regression

   • Teemu Roos
   • Hannes Wettig
   • Henry Tirri

   OriginalPaper Pages: 267 - 296

5. Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers

   • Russell Greiner
   • Xiaoyuan Su
   • Wei Zhou

   OriginalPaper Pages: 297 - 322

6. TAN Classifiers Based on Decomposable Distributions

   • Jesús Cerquides
   • Ramon López de MÁntaras

   OriginalPaper Pages: 323 - 354