COLT 1989

26 papers

A Parametrization Scheme for Classifying Models of Learnability Shai Ben-David, Gyora M. Benedek, Yishay Mansour
A Polynomial-Time Algorithm for Learning K-Variable Pattern Languages from Examples Michael J. Kearns, Leonard Pitt
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A Statistical Approach to Learning and Generalization in Layered Neural Networks Esther Levin, Naftali Tishby, Sara A. Solla
Complexity Issues in Learning by Neural Nets Jyh-Han Lin, Jeffrey Scott Vitter
Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines Sanjay Jain, Arun Sharma, John Case
Elementary Formal System as a Unifying Framework for Language Learning Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto
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Equivalence Queries and Approximate Fingerprints Dana Angluin
From On-Line to Batch Learning Nick Littlestone
Identification of Unions of Languages Drawn from an Identifiable Class Keith Wright
Induction from the General to the More General Kevin T. Kelly
Inductive Inference with Bounded Number of Mind Changes Mahendran Velauthapillai
Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures) Vladimir Vapnik
Informed Parsimonious Inference of Prototypical Genetic Sequences Aleksandar Milosavljevic, David Haussler, Jerzy Jurka
Learning in the Presence of Inaccurate Information Mark A. Fulk, Sanjay Jain
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Learning Nested Differences of Intersection-Closed Concept Classes David P. Helmbold, Robert Sloan, Manfred K. Warmuth
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Learning Read-Once Formulas Using Membership Queries Lisa Hellerstein, Marek Karpinski
Learning Simple Deterministic Languages Hiroki Ishizaka
Learning Structure from Data: A Survey Judea Pearl, Rina Dechter
Learning via Queries to an Oracle William I. Gasarch, Mark G. Pleszkoch
On Approximate Truth Daniel N. Osherson, Michael Stob, Scott Weinstein
On Learning from Exercises B. K. Natarajan
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On the Role of Search for Learning Stuart A. Kurtz, Carl H. Smith
Polynomial Learnability of Semilinear Sets Naoki Abe
Reliable and Useful Learning Jyrki Kivinen
Space-Bounded Learning and the Vapnik-Chervonenkis Dimension Sally Floyd
The Light Bulb Problem Ramamohan Paturi, Sanguthevar Rajasekaran, John H. Reif