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Learning theory :an approximation th...

Cucker, Felipe, (1958-)

Learning theory :an approximation theory viewpoint /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/1
書名/作者:	Learning theory : : an approximation theory viewpoint // Felipe Cucker, Ding-Xuan Zhou.
作者:	Cucker, Felipe,
其他作者:	Zhou, Ding-Xuan,
面頁冊數:	1 online resource (xii, 224 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Computational learning theory.
標題:	Approximation theory.
ISBN:	9780511618796 (ebook)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1017/CBO9780511618796

Learning theory :an approximation theory viewpoint /
Cucker, Felipe,1958-

Learning theory :an approximation theory viewpoint /Felipe Cucker, Ding-Xuan Zhou. - 1 online resource (xii, 224 pages) :digital, PDF file(s). - Cambridge monographs on applied and computational mathematics ;24. - Cambridge monographs on applied and computational mathematics ;14..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511618796 (ebook)Subjects--Topical Terms:

642469
Computational learning theory.

LC Class. No.: Q325.7 / .C83 2007

Dewey Class. No.: 006.3/1

Learning theory :an approximation theory viewpoint /
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520 $a 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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