MLJ 1990

17 papers

A Necessary Condition for Learning from Positive Examples Haim Schweitzer

Acquiring Recursive and Iterative Concepts with Explanation-Based Learning Jude W. Shavlik

Advice to Machine Learning Authors Pat Langley

Boolean Feature Discovery in Empirical Learning Giulia Pagallo, David Haussler

CSM: A Computational Model of Cumulative Learning Hayong Harry Zhou

Empirical Learning as a Function of Concept Character Larry A. Rendell, Howard Cho

Empirical Learning Using Rule Threshold Optimization for Detection of Events in Synthetic Images David J. Montana

Exploratory Research in Machine Learning Thomas G. Dietterich

Extending Domain Theories: Two Case Studies in Student Modeling Derek H. Sleeman

Learning Logical Definitions from Relations J. Ross Quinlan

Learning Nested Differences of Intersection-Closed Concept Classes David P. Helmbold, Robert Sloan, Manfred K. Warmuth

Learning Sequential Decision Rules Using Simulation Models and Competition John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz

Negative Results for Equivalence Queries Dana Angluin

Polynomial Time Learnability of Simple Deterministic Languages Hiroki Ishizaka

Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding David E. Goldberg

The Problem of Expensive Chunks and Its Solution by Restricting Expressiveness Milind Tambe, Allen Newell, Paul S. Rosenbloom

The Strength of Weak Learnability Robert E. Schapire