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Computational Learning Theory by Paul Fischer β€” book cover
Robotics & Artificial Intelligence, Science - General & Miscellaneous, Artificial Intelligence (AI), Psychology - Theory, History & Research, Science - General & Miscellaneous, Robotics & Artificial Intelligence, Educational Theory, Research & History

Computational Learning Theory

by Paul Fischer (Editor), Hans U. Simon
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Overview

This book constitutes the refereed proceedings of the 4th European Conference on Computational Learning Theory, EuroCOLT'99, held in Nordkirchen, Germany in March 1999. The 21 revised full papers presented were selected from a total of 35 submissions; also included are two invited contributions. The book is divided in topical sections on learning from queries and counterexamples, reinforcement learning, online learning and export advice, teaching and learning, inductive inference, and statistical theory of learning and pattern recognition.

Synopsis

This book constitutes the refereed proceedings of the 4th European Conference on Computational Learning Theory, EuroCOLT'99, held in Nordkirchen, Germany in March 1999. The 21 revised full papers presented were selected from a total of 35 submissions; also included are two invited contributions. The book is divided in topical sections on learning from queries and counterexamples, reinforcement learning, online learning and export advice, teaching and learning, inductive inference, and statistical theory of learning and pattern recognition.

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Book Details

Published
October 1, 2007
Publisher
Springer-Verlag New York, LLC
Pages
311
Format
Paperback
ISBN
9783540657019

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