Journal: Machine Learning

Volume 2, Issue 4

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

Volume 2, Issue 3

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

Volume 2, Issue 2

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

Volume 2, Issue 1

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