2. COLT 1989:
Santa Cruz, CA, USA
Ronald L. Rivest, David Haussler, Manfred K. Warmuth (Eds.):
Proceedings of the Second Annual Workshop on Computational Learning Theory, COLT 1989, Santa Cruz, CA, USA, July 31 - August 2, 1989.
Morgan Kaufmann 1989, ISBN 1-55860-086-8
- Vladimir Vapnik:
Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures).
3-21

- Naoki Abe:
Polynomial Learnability of Semilinear Sets.
25-40

- David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth:
Learning Nested Differences of Intersection-Closed Concept Classes.
41-56

- Michael J. Kearns, Leonard Pitt:
A Polynomial-Time Algorithm for Learning k-Variable Pattern Languages from Examples.
57-71

- B. K. Natarajan:
On Learning from Exercises.
72-87

- Daniel N. Osherson, Michael Stob, Scott Weinstein:
On Approximate Truth.
88-101

- Aleksandar Milosavljevic, David Haussler, Jerzy Jurka:
Informed Parsimonious Inference of Prototypical Genetic Sequences.
102-117

- Jyh-Han Lin, Jeffrey Scott Vitter:
Complexity Issues in Learning by Neural Nets.
118-133

- Dana Angluin:
Equivalence Queries and Approximate Fingerprints.
134-145

- Lisa Hellerstein, Marek Karpinski:
Learning Read-Once Formulas Using Membership Queries.
146-161

- Hiroki Ishizaka:
Learning Simple Deterministic Languages.
162-174

- Mark A. Fulk, Sanjay Jain:
Learning in the Presence of Inaccurate Information.
175-188

- Sanjay Jain, Arun Sharma, John Case:
Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines.
189-199

- Mahendran Velauthapillai:
Inductive Inference with Bounded Number of Mind Changes.
200-213

- William I. Gasarch, Mark G. Pleszkoch:
Learning via Queries to an Oracle.
214-229

- Judea Pearl, Rina Dechter:
Learning Structure from Data: A Survey.
230-244

- Esther Levin, Naftali Tishby, Sara A. Solla:
A Statistical Approach to Learning and Generalization in Layered Neural Networks.
245-260

- Ramamohan Paturi, Sanguthevar Rajasekaran, John H. Reif:
The Light Bulb Problem.
261-268

- Nick Littlestone:
From On-Line to Batch Learning.
269-284

- Shai Ben-David, Gyora M. Benedek, Yishay Mansour:
A Parametrization Scheme for Classifying Models of Learnability.
285-302

- Stuart A. Kurtz, Carl H. Smith:
On the Role of Search for Learning.
303-311

- Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto:
Elementary Formal System as a Unifying Framework for Language Learning.
312-327

- Keith Wright:
Identification of Unions of Languages Drawn from an Identifiable Class.
328-333

- Kevin T. Kelly:
Induction from the General to the More General.
334-348

- Sally Floyd:
Space-Bounded Learning and the Vapnik-Chervonenkis Dimension.
349-364

- Jyrki Kivinen:
Reliable and Useful Learning.
365-380

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