Record ID | harvard_bibliographic_metadata/ab.bib.10.20150123.full.mrc:73752635:1707 |
Source | harvard_bibliographic_metadata |
Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.10.20150123.full.mrc:73752635:1707?format=raw |
LEADER: 01707nam a22003493a 4500
001 010121592-4
005 20061004095814.0
008 060306s2006 gw a b 101 0 eng c
010 $a 2006923359
016 7 $a978974719$2GyFmDB
020 $a3540335846 (pbk.)
024 3 $a9783540335849
035 0 $aocm68629576
040 $aOHX$cOHX$dZCU$dC$Q$dBAKER$dCOO$dYUS$dIQU$dDLC
050 00 $aMLCM 2006/41392 (Q)
072 7 $aQ$2lcco
111 2 $aInternational Conference on Machine Learning and Cybernetics$n(4th :$d2005 :$cGuangzhou, China)
245 10 $aAdvances in machine learning and cybernetics :$b4th international conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005 : revised selected papers /$cDaniel S. Yeung ... [et al.] (eds.).
246 30 $aICMLC 2005
260 $aBerlin ;$aNew York :$bSpringer,$cc2006.
300 $axxi, 1110 p. :$bill. ;$c24 cm.
490 1 $aLecture notes in computer science,$x0302-9743 ;$v3930.$aLecture notes in artificial intelligence
504 $aIncludes bibliographical references and author index.
505 0 $aAgents and distributed AI -- Intelligent control -- Data mining and knowledge discovery -- Fuzzy information processing -- Learning and reasoning -- Machine learning applications -- Neural networks and statistical learning methods -- Pattern recognition --Vision and image processing.
530 $aAlso issued online.
650 0 $aMachine learning$vCongresses.
650 0 $aCybernetics$vCongresses.
700 1 $aYeung, Daniel S.,$d1946-
830 0 $aLecture notes in computer science ;$v3930.
830 0 $aLecture notes in computer science.$pLecture notes in artificial intelligence.
988 $a20061004
906 $0OCLC