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Computational Learning Theory: EuroCOLT '93 (The ^AInstitute of Mathematics and its Applications Conference Series, New Series) - Hardcover

 
9780198534921: Computational Learning Theory: EuroCOLT '93 (The ^AInstitute of Mathematics and its Applications Conference Series, New Series)
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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.

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Book Description:
Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
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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9780521599221: Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30)

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ISBN 10:  0521599229 ISBN 13:  9780521599221
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  • 9780521416030: Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30)

    Cambri..., 1992
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Book Description 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. Seller Inventory # 5421

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