1. Explorations of an incremental, Bayesian algorithm for categorization

   • John R. Anderson
   • Michael Matessa

   OriginalPaper Pages: 275 - 308

2. Explorations of an Incremental, Bayesian Algorithm for Categorization

   • John R. Anderson
   • Michael Matessa

   OriginalPaper Pages: 275 - 308

3. A Bayesian Method for the Induction of Probabilistic Networks from Data

   • Gregory F. Cooper
   • Edward Herskovits

   OriginalPaper Pages: 309 - 347

4. A Bayesian method for the induction of probabilistic networks from data

   • Gregory F. Cooper
   • Edward Herskovits

   OriginalPaper Pages: 309 - 347

5. A framework for average case analysis of conjunctive learning algorithms

   • Michael J. Pazzani
   • Wendy Sarrett

   OriginalPaper Pages: 349 - 372

6. A Framework for Average Case Analysis of Conjunctive Learning Algorithms

   • Michael J. Pazzani
   • Wendy Sarrett

   OriginalPaper Pages: 349 - 372

7. Learning Boolean Functions in an Infinite Attribute Space

   • Avrim Blum

   OriginalPaper Pages: 373 - 386

8. Learning boolean functions in an infinite attribute space

   • Avrim Blum

   OriginalPaper Pages: 373 - 386

9. First nearest neighbor classification on Frey and Slate's letter recognition problem

   • Terence C. Fogarty

   Technical Note Pages: 387 - 388

10. Technical Note: First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem

    • Terence C. Fogarty

    OriginalPaper Pages: 387 - 388