ML Anthology
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COLT 1989
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26 papers
A Parametrization Scheme for Classifying Models of Learnability
Shai Ben-David, Gyora M. Benedek, Yishay Mansour
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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
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Complexity Issues in Learning by Neural Nets
Jyh-Han Lin, Jeffrey Scott Vitter
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Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines
Sanjay Jain, Arun Sharma, John Case
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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
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From On-Line to Batch Learning
Nick Littlestone
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Identification of Unions of Languages Drawn from an Identifiable Class
Keith Wright
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Induction from the General to the More General
Kevin T. Kelly
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Inductive Inference with Bounded Number of Mind Changes
Mahendran Velauthapillai
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Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures)
Vladimir Vapnik
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Informed Parsimonious Inference of Prototypical Genetic Sequences
Aleksandar Milosavljevic, David Haussler, Jerzy Jurka
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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
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Learning Simple Deterministic Languages
Hiroki Ishizaka
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Learning Structure from Data: A Survey
Judea Pearl, Rina Dechter
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Learning via Queries to an Oracle
William I. Gasarch, Mark G. Pleszkoch
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On Approximate Truth
Daniel N. Osherson, Michael Stob, Scott Weinstein
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On Learning from Exercises
B. K. Natarajan
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On the Role of Search for Learning
Stuart A. Kurtz, Carl H. Smith
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Polynomial Learnability of Semilinear Sets
Naoki Abe
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Reliable and Useful Learning
Jyrki Kivinen
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Space-Bounded Learning and the Vapnik-Chervonenkis Dimension
Sally Floyd
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The Light Bulb Problem
Ramamohan Paturi, Sanguthevar Rajasekaran, John H. Reif
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