Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning Theory: An Approximation Theory Viewpoint

Learning Theory: An Approximation Theory Viewpoint

Zhou, Ding Xuan
Cucker, Felipe

Hardcover

Series: Cambridge Monographs on Applied and Computational Mathematic, Book 24

General Computers

ISBN10: 052186559X
ISBN13: 9780521865593
Publisher: Cambridge University Press
Published: Mar 29 2007
Pages: 238
Weight: 0.79
Height: 0.66 Width: 6.30 Depth: 9.08
Language: English
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.

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