MLJ 1991

23 papers

A 'PAC' Algorithm for Making Feature Maps Philip D. Laird, Evan Gamble

A Critical Look at Experimental Evaluations of EBL Alberto M. Segre, Charles Elkan, Alexander Russell

A Distance-Based Attribute Selection Measure for Decision Tree Induction Ramón López de Mántaras

A Nearest Hyperrectangle Learning Method Steven Salzberg

An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples Renee Elio, Larry Watanabe

Book Review Roland Zito-Wolf

Complexity Results on Learning by Neural Nets Jyh-Han Lin, Jeffrey Scott Vitter

Conflict Resolution as Discovery in Particle Physics Sakir Kocabas

Distributed Representations, Simple Recurrent Networks, and Grammatical Structure Jeffrey L. Elman

Exemplar-Based Knowledge Acquisition Yoram Reich

Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. McClelland

Improved Estimates for the Accuracy of Small Disjuncts J. Ross Quinlan

Information-Based Evaluation Criterion for Classifier's Performance Igor Kononenko, Ivan Bratko

Instance-Based Learning Algorithms David W. Aha, Dennis F. Kibler, Marc K. Albert

Learning Automata from Ordered Examples Sara Porat, Jerome A. Feldman

Learning to Perceive and Act by Trial and Error Steven D. Whitehead, Dana H. Ballard

Learning to Predict Non-Deterministically Generated Strings Moshe Koppel

Letter Recognition Using Holland-Style Adaptive Classifiers Peter W. Frey, David J. Slate

Rigel: An Inductive Learning System Roberto Gemello, Franco Mana, Lorenza Saitta

SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments Michael Mozer, Jonathan Bachrach

Symbolic and Neural Learning Algorithms: An Experimental Comparison Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell

The Induction of Dynamical Recognizers Jordan B. Pollack

The Use of Background Knowledge in Decision Tree Induction Marlon Núñez