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

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