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Computational Learning Theory by Shai Ben-David 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 Shai Ben-David
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Overview

This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97, held in Jerusalem, Israel, in March 1997.
The book presents 25 revised full papers carefully selected from a total of 36 high-quality submissions. The volume spans the whole spectrum of computational learning theory, with a certain emphasis on mathematical models of machine learning. Among the topics addressed are machine learning, neural nets, statistics, inductive inference, computational complexity, information theory, and theoretical physics.

Synopsis

This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97, held in Jerusalem, Israel, in March 1997.
The book presents 25 revised full papers carefully selected from a total of 36 high-quality submissions. The volume spans the whole spectrum of computational learning theory, with a certain emphasis on mathematical models of machine learning. Among the topics addressed are machine learning, neural nets, statistics, inductive inference, computational complexity, information theory, and theoretical physics.

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Book Details

Published
November 1, 2007
Publisher
Springer-Verlag New York, LLC
Pages
686
Format
Paperback
ISBN
9783540626855

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