000 01633nam a2200373Ia 4500
001 ebr10216841
003 CaPaEBR
007 cr cn|||||||||
008 071215s2008 ne a sb 000 0 eng d
010 _z 2007942192
020 _z1586038214
020 _z9781586038212
040 _aCaPaEBR
_cCaPaEBR
035 _a(OCoLC)648350192
050 1 4 _aQA279.5
_b.R54 2008eb
100 1 _aRiggelsen, Carsten.
245 1 0 _aApproximation methods for efficient learning of Bayesian networks
_h[electronic resource] /
_cCarsten Riggelsen.
260 _aAmsterdam ;
_aWashington, DC :
_bIOS Press,
_cc2008.
300 _avii, 137 p. :
_bill.
490 1 _aFrontiers in artificial intelligence and applications ;
_vv. 168
490 1 _aDissertations in artificial intelligence
502 _aThesis (Ph.D.)--Utrecht University, 2006.
504 _aIncludes bibliographical references (p. [133]-137).
533 _aElectronic reproduction.
_bPalo Alto, Calif. :
_cebrary,
_d2009.
_nAvailable via World Wide Web.
_nAccess may be limited to ebrary affiliated libraries.
650 0 _aBayesian statistical decision theory.
650 0 _aMachine learning.
650 0 _aNeural networks (Computer science)
655 7 _aElectronic books.
_2local
710 2 _aebrary, Inc.
830 0 _aFrontiers in artificial intelligence and applications.
_pDissertations in artificial intelligence.
830 0 _aFrontiers in artificial intelligence and applications ;
_vv. 168.
856 4 0 _uhttp://site.ebrary.com/lib/kliuc/Doc?id=10216841
_zAn electronic book accessible through the World Wide Web; click to view
999 _c63577
_d63577