東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Kernel based algorithms for mining h...

Huang, Te-Ming.

Linked to FindBook

Google Book

Amazon

博客來

Kernel based algorithms for mining huge data sets : = supervised, semi-supervised, and unsupervised learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Kernel based algorithms for mining huge data sets :/ Te-Ming Huang, Vojislav Kecman, Ivica Kopriva.
Reminder of title:	supervised, semi-supervised, and unsupervised learning /
Author:	Huang, Te-Ming.
other author:	Kecman, V.
Published:	Berlin ; New York :Springer, : c2006.,
Description:	xvi, 260 p. :ill. ;25 cm.
Series:	Studies in computational intelligence,
Subject:	Machine learning. -
Online resource:	http://www.loc.gov/catdir/toc/fy0611/2005938947.html
Online resource:	http://www.loc.gov/catdir/enhancements/fy0663/2005938947-d.html
ISBN:	9783540316817

Kernel based algorithms for mining huge data sets : = supervised, semi-supervised, and unsupervised learning /
Huang, Te-Ming.

Kernel based algorithms for mining huge data sets :supervised, semi-supervised, and unsupervised learning /Te-Ming Huang, Vojislav Kecman, Ivica Kopriva. - Berlin ; New York :Springer,c2006. - xvi, 260 p. :ill. ;25 cm. - Studies in computational intelligence,v. 171860-949X ;.

ISBN: 9783540316817

LCCN: 2005938947Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .H83 2006

Dewey Class. No.: 006.3/12

Kernel based algorithms for mining huge data sets : = supervised, semi-supervised, and unsupervised learning /
LDR:01213cam 22002777a 4500 001 2235158
005 20060821112115.0
008 211105s2006 gw a b 000 0 eng d
010 $a 2005938947
020 $a 9783540316817 $q (acid-free paper)
020 $a 3540316817 $q (acid-free paper)
035 $a (CStRLIN)PAUGV4007228-B
035 $a (PU)4007228
035 $a 14206550
040 $a OHX $c OHX $d BAKER $d HNK $d DLC
042 $a lccopycat
050 0 0 $a Q325.5 $b .H83 2006
082 0 0 $a 006.3/12 $2 22
100 1 $a Huang, Te-Ming. $3 3484906
245 1 0 $a Kernel based algorithms for mining huge data sets : $b supervised, semi-supervised, and unsupervised learning / $c Te-Ming Huang, Vojislav Kecman, Ivica Kopriva.
260 # $a Berlin ; New York : $b Springer, $c c2006.
300 $a xvi, 260 p. : $b ill. ; $c 25 cm.
440 0 $a Studies in computational intelligence, $x 1860-949X ; $v v. 17
650 # 0 $a Machine learning. $3 533906
650 # 0 $a Data mining. $3 562972
650 # 0 $a Kernel functions. $3 562986
700 1 # $a Kecman, V. $q (Vojislav), $d 1948- $3 3484907
700 1 # $a Kopriva, Ivica, $d 1962- $3 3484908
856 4 1 $3 Table of contents only $u http://www.loc.gov/catdir/toc/fy0611/2005938947.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy0663/2005938947-d.html
906 $a 7 $b cbc $c copycat $d 2 $e ncip $f 20 $g y-gencatlg
925 0 $a acquire $b 2 shelf copies $x policy default
955 $a pc17 2005-12-21 $a jp00 2006-07-01 $i jp18 2006-07-14 $e jp18 2006-07-14 to Dewey $a aa07 2006-07-28