New! Hard bound in rust cloth with bright silver titles, first edition, xi + Pp239. A new, unread copy without a dust jacket. 560 grams. A volume from The Institute of Mathematics & Its Applications Conference Series; New Series, Number 53.

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Bibliographic Details

Title

Computational Learning Theory: EuroCOLT '93

Publisher

Oxford: Clarendon, 1994

Publication Date

1994

Language

English

ISBN 10

0198534922

ISBN 13

9780198534921

Binding

Hardcover

Edition

1st Edition

Dust Jacket Condition

Dust Jacket Included

Seller catalogs

Mathematics, Statistics

About this title

Synopsis

The study of machine learning within the mathematical framework of complexity theory has seen great strides in just a few short years, spurred on by the tremendous rise in interest from engineers studying control to analysts predicting financial market activity. Based on the first European Conference on Computational Learning Theory, and including a number of invited contributions, Computational Learning Theory offers an outstanding overview of the subject, with topics ranging from results inspired by neural network research to those originating from more classical artificial intelligence approaches. It will appeal to students and researchers in applied mathematics, computer science, and cognitive science.

About the Author

John Shawe-Taylor, Department of Computer Science, Royal Holloway, University of London. Martin Anthony, Lecturer in Mathematics, London School of Economics and Political Science.

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