000 01508nam a22004215i 4500
001 978-3-540-31689-3
003 DE-He213
005 20130515021338.0
007 cr nn 008mamaa
008 100301s2006 gw | s |||| 0|eng d
020 _a9783540316893
_9978-3-540-31689-3
024 7 _a10.1007/3-540-31689-2
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aHuang, Te-Ming.
245 1 0 _aKernel Based Algorithms for Mining Huge Data Sets
_h[electronic resource] :
_bSupervised, Semi-supervised, and Unsupervised Learning /
_cby Te-Ming Huang, Vojislav Kecman, Ivica Kopriva.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
300 _bdigital.
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v17
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aKecman, Vojislav.
700 1 _aKopriva, Ivica.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540316817
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v17
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-31689-2
912 _aZDB-2-ENG
999 _c76408
_d76408