東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Pattern classification using ensembl...

Rokach, Lior.{me_controlnum}

FindBook

Google Book

Amazon

博客來

Pattern classification using ensemble methods

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pattern classification using ensemble methods/ Lior Rokach.
作者:	Rokach, Lior.{me_controlnum}
出版者:	Singapore ;World Scientific Pub. Co., : c2010.,
面頁冊數:	xv, 225 p. :ill.
標題:	Pattern recognition systems. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/7238#t=toc
ISBN:	9789814271073 (electronic bk.)

Pattern classification using ensemble methods
Rokach, Lior.{me_controlnum}

Pattern classification using ensemble methods[electronic resource] /Lior Rokach. - Singapore ;World Scientific Pub. Co.,c2010. - xv, 225 p. :ill. - Series in machine perception and artificial intelligence ;v. 75. - Series in machine perception and artificial intelligence ;v. 74..

Includes bibliographical references (p. 185-222) and index.

Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications. The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2010.

System requirements: Adobe Acrobat Reader.

ISBN: 9789814271073 (electronic bk.)Subjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Pattern classification using ensemble methods
LDR:01842nmm a2200277 a 4500 001 1295068
003 WSP
005 20100408155055.0
006 m d
007 cr cuu|||uu|||
008 121114s2010 si a sb 001 0 eng d
020 $a 9789814271073 (electronic bk.)
020 $z 9814271063
020 $z 9789814271066
035 $a 00000652
050 4 $a TK7882.P3
082 0 4 $a 006.4 $2 22
100 1 $a Rokach, Lior.{me_controlnum} $3 1573008
245 1 0 $a Pattern classification using ensemble methods $h [electronic resource] / $c Lior Rokach.
260 $a Singapore ; $a Hackensack, N.J. : $b World Scientific Pub. Co., $c c2010.
300 $a xv, 225 p. : $b ill.
490 1 $a Series in machine perception and artificial intelligence ; $v v. 75
504 $a Includes bibliographical references (p. 185-222) and index.
520 $a Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications. The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.
533 $a Electronic reproduction. $b Singapore : $c World Scientific Publishing Co., $d 2010. $n System requirements: Adobe Acrobat Reader. $n Mode of access: World Wide Web. $n Available to subscribing institutions.
650 0 $a Pattern recognition systems. $3 527885
650 0 $a Algorithms. $3 536374
650 0 $a Machine learning. $3 533906
710 2 $a World Scientific (Firm) $3 560950
776 1 $z 9814271063
776 1 $z 9789814271066
830 0 $a Series in machine perception and artificial intelligence ; $v v. 74. $3 1572858
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/7238#t=toc