Machine Learning, Volume 2

Volume 2, Number 1, 1987

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

Volume 2, Number 2, 1987

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

Volume 2, Number 3, 1987

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

Volume 2, Number 4, 1987

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