Machine Learning, Volume 2

Volume 2, Number 1, 1987

Pat Langley: Machine Learning and Grammar Induction. 5-8 BibTeX
Robert C. Berwick, Samuel F. Pilato: Learning Syntax by Automata Induction. 9-38 BibTeX
Kurt VanLehn, William Ball: A Version Space Approach to Learning Context-free Grammars. 39-74 BibTeX
Thomas G. Dietterich: News and Notes. 75-96 BibTeX

Pat Langley: Machine Learning and Concept Formation. 99-102 BibTeX
Michael Lebowitz: Experiments with Incremental Concept Formation: UNIMEM. 103-138 BibTeX
Douglas H. Fisher: Knowledge Acquisition via Incremental Conceptual Clustering. 139-172 BibTeX
Rogers P. Hall: A Review of the Fourth International Workshop on Machine Learning. 173-190 BibTeX
Thomas G. Dietterich: News and Notes. 191-192 BibTeX

Pat Langley: Research Papers in Machine Learning. 195-198 BibTeX
Stewart W. Wilson: Classifier Systems and the Animat Problem. 199-228 BibTeX
Ronald L. Rivest: Learning Decision Lists. 229-246 BibTeX
Jeff Shrager: Theory Change via View Application in Instructionless Learning. 247-276 BibTeX
Thomas G. Dietterich: News and Notes. 277-278 BibTeX

David Haussler: New Theoretical Directions in Machine Learning. 281-284 BibTeX
Nick Littlestone: Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm. 285-318 BibTeX
Dana Angluin: Queries and Concept Learning. 319-342 BibTeX
Dana Angluin, Philip D. Laird: Learning From Noisy Examples. 343-370 BibTeX
Leonard Pitt, Robert E. Reinke: Criteria for Polynomial-Time (Conceptual) Clustering. 371-396 BibTeX
Thomas G. Dietterich: News and Notes. 397-398 BibTeX