Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied and Computational Mathematics) | 
 enlarge | Authors: Felipe Cucker, Ding Xuan Zhou
Publisher: Cambridge University Press
Category: Book
List Price: $67.00
Buy New: $55.77
You Save: $11.23 (17%)
New (13) Used (7) from $55.77
Sales Rank: 1367749
Media: Hardcover
Edition: 1
Pages: 236
Number Of Items: 1
Shipping Weight (lbs): 1
Dimensions (in): 8.9 x 6.1 x 0.8
ISBN: 052186559X
Dewey Decimal Number: 006.31
EAN: 9780521865593
Publication Date: May 14, 2007
Availability: Usually ships in 1-2 business days
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Condition: Brand New. Delivery is usually 5 - 8 working days from order, International is by Royal Mail Airmail
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Product 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.
Book Description
The goal of learning theory is to approximate a function from sample values. This is a general overview of the theoretical foundations, and is the first book to emphasize the approximation theory viewpoint. This emphasis provides a balanced approach, and will attract mathematicians to the problems raised.
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