國立虎尾科技大學 |

Learning theory : = an approximation theory viewpoint /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Learning theory :/ Felipe Cucker, Ding-Xuan Zhou.
其他題名:	an approximation theory viewpoint /
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:	Approximation theory. -
電子資源:	https://doi.org/10.1017/CBO9780511618796
ISBN:	9780511618796 (ebook)

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 ;16..

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:

527707
Approximation theory.

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

Dewey Class. No.: 006.3/1

Learning theory : = an approximation theory viewpoint /
LDR:01944nam a2200289 i 4500 001 1126093
003 UkCbUP
005 20151005020621.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2007||||enk o ||1 0|eng|d
020 $a 9780511618796 (ebook)
020 $z 9780521865593 (hardback)
035 $a CR9780511618796
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a Q325.7 $b .C83 2007
082 0 0 $a 006.3/1 $2 22
100 1 $a Cucker, Felipe, $d 1958- $3 564571
245 1 0 $a Learning theory : $b an approximation theory viewpoint / $c Felipe Cucker, Ding-Xuan Zhou.
264 1 $a Cambridge : $b Cambridge University Press, $c 2007.
300 $a 1 online resource (xii, 224 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Cambridge monographs on applied and computational mathematics ; $v 24
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
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.
650 0 $a Approximation theory. $3 527707
650 0 $a Computational learning theory. $3 564572
700 1 $a Zhou, Ding-Xuan, $e author. $3 1444716
776 0 8 $i Print version: $z 9780521865593
830 0 $a Cambridge monographs on applied and computational mathematics ; $v 16. $3 746415
856 4 0 $u https://doi.org/10.1017/CBO9780511618796