Machine Learning, Volume 1, 1986

Volume 1, Number 1, 1986

Pat Langley: On Machine Learning. 5-10 BibTeX
John E. Laird, Paul S. Rosenbloom, Allen Newell: Chunking in Soar: The Anatomy of a General Learning Mechanism. 11-46 BibTeX
Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli: Explanation-Based Generalization: A Unifying View. 47-80 BibTeX
J. Ross Quinlan: Induction of Decision Trees. 81-106 BibTeX
Jan M. Zytkow, Herbert A. Simon: A Theory of Historical Discovery: The Construction of Componential Models. 107-136 BibTeX

Pat Langley: Editorial: The Terminology of Machine Learning. 141-144 BibTeX
Gerald DeJong, Raymond J. Mooney: Explanation-Based Learning: An Alternative View. 145-176 BibTeX
Larry A. Rendell: A General Framework for Induction and a Study of Selective Induction. 177-226 BibTeX
Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins: News and Notes. 227-242 BibTeX

Pat Langley: Editorial: Human and Machine Learning. 243-248 BibTeX
Bruce W. Porter, Dennis F. Kibler: Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. 249-286 BibTeX
Thomas G. Dietterich: Learning at the Knowledge Level. 287-316 BibTeX
Jeffrey C. Schlimmer, Richard H. Granger: Incremental Learning from Noisy Data. 317-354 BibTeX
Yves Kodratoff, Gheorghe Tecuci, Thomas G. Dietterich: News and Notes. 355-358 BibTeX

Pat Langley, Ryszard S. Michalski: Machine Learning and Discovery. 363-366 BibTeX
Brian Falkenhainer, Ryszard S. Michalski: Integrating Quantitative and Qualitative Discovery: The ABACUS System. 367-401 BibTeX
Mieczyslaw M. Kokar: Determining Arguments of Invariant Functional Descriptions. 403-422 BibTeX
Donald Rose, Pat Langley: Chemical Discovery as Belief Revision. 423-451 BibTeX
Thomas G. Dietterich: News and Notes. 453-454 BibTeX