Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24) - Image 1

£69.98

Cambridge University Press Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)

Name: Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
Brand: Cambridge University Press
Price: 69.98 GBP
Availability: InStock

Illustrated

Higher Education

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£70 today · all-time low £68 (Apr 2026) · usually £71

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Description

The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines.

Product Specifications

Brand: Cambridge University Press
Model: Illustrated
Format: hardcover
ASIN: 052186559X
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 29 March 2007
Listed Since: 16 February 2007

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Cambridge University Press Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)

About as cheap as it gets. The only time it was cheaper was 2 months ago.

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