2. COLT 1989: Santa Cruz, CA, USA

• Vladimir Vapnik:
  Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures). 3-21
  Electronic Edition (link) BibTeX
• Naoki Abe:
  Polynomial Learnability of Semilinear Sets. 25-40
  Electronic Edition (link) BibTeX
• David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth:
  Learning Nested Differences of Intersection-Closed Concept Classes. 41-56
  Electronic Edition (link) BibTeX
• Michael J. Kearns, Leonard Pitt:
  A Polynomial-Time Algorithm for Learning k-Variable Pattern Languages from Examples. 57-71
  Electronic Edition (link) BibTeX
• B. K. Natarajan:
  On Learning from Exercises. 72-87
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• Daniel N. Osherson, Michael Stob, Scott Weinstein:
  On Approximate Truth. 88-101
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• Aleksandar Milosavljevic, David Haussler, Jerzy Jurka:
  Informed Parsimonious Inference of Prototypical Genetic Sequences. 102-117
  Electronic Edition (link) BibTeX
• Jyh-Han Lin, Jeffrey Scott Vitter:
  Complexity Issues in Learning by Neural Nets. 118-133
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• Dana Angluin:
  Equivalence Queries and Approximate Fingerprints. 134-145
  Electronic Edition (link) BibTeX
• Lisa Hellerstein, Marek Karpinski:
  Learning Read-Once Formulas Using Membership Queries. 146-161
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• Hiroki Ishizaka:
  Learning Simple Deterministic Languages. 162-174
  Electronic Edition (link) BibTeX
• Mark A. Fulk, Sanjay Jain:
  Learning in the Presence of Inaccurate Information. 175-188
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• Sanjay Jain, Arun Sharma, John Case:
  Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. 189-199
  Electronic Edition (link) BibTeX
• Mahendran Velauthapillai:
  Inductive Inference with Bounded Number of Mind Changes. 200-213
  Electronic Edition (link) BibTeX
• William I. Gasarch, Mark G. Pleszkoch:
  Learning via Queries to an Oracle. 214-229
  Electronic Edition (link) BibTeX
• Judea Pearl, Rina Dechter:
  Learning Structure from Data: A Survey. 230-244
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• Esther Levin, Naftali Tishby, Sara A. Solla:
  A Statistical Approach to Learning and Generalization in Layered Neural Networks. 245-260
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• Ramamohan Paturi, Sanguthevar Rajasekaran, John H. Reif:
  The Light Bulb Problem. 261-268
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• Nick Littlestone:
  From On-Line to Batch Learning. 269-284
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• Shai Ben-David, Gyora M. Benedek, Yishay Mansour:
  A Parametrization Scheme for Classifying Models of Learnability. 285-302
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• Stuart A. Kurtz, Carl H. Smith:
  On the Role of Search for Learning. 303-311
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• Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto:
  Elementary Formal System as a Unifying Framework for Language Learning. 312-327
  Electronic Edition (link) BibTeX
• Keith Wright:
  Identification of Unions of Languages Drawn from an Identifiable Class. 328-333
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• Kevin T. Kelly:
  Induction from the General to the More General. 334-348
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• Sally Floyd:
  Space-Bounded Learning and the Vapnik-Chervonenkis Dimension. 349-364
  Electronic Edition (link) BibTeX
• Jyrki Kivinen:
  Reliable and Useful Learning. 365-380
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