MLJ 1986

14 papers

A General Framework for Induction and a Study of Selective Induction Larry A. Rendell

A Theory of Historical Discovery: The Construction of Componential Models Jan M. Zytkow, Herbert A. Simon

Chemical Discovery as Belief Revision Donald Rose, Pat Langley

Chunking in Soar: The Anatomy of a General Learning Mechanism John E. Laird, Paul S. Rosenbloom, Allen Newell

Determining Arguments of Invariant Functional Descriptions Mieczyslaw M. Kokar

Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics Bruce W. Porter, Dennis F. Kibler

Explanation-Based Generalization: A Unifying View Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli

Explanation-Based Learning: An Alternative View Gerald DeJong, Raymond J. Mooney

Incremental Learning from Noisy Data Jeffrey C. Schlimmer, Richard H. Granger

Induction of Decision Trees J. Ross Quinlan

Integrating Quantitative and Qualitative Discovery: The ABACUS System Brian Falkenhainer, Ryszard S. Michalski

Learning at the Knowledge Level Thomas G. Dietterich

Machine Learning and Discovery Pat Langley, Ryszard S. Michalski

On Machine Learning Pat Langley