000			01635nam a2200373Ia 4500
001			ebr10216841
003			CaPaEBR
006			m u
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)608622263
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/rucke/Doc?id=10216841 _zAn electronic book accessible through the World Wide Web; click to view
999			_c128555 _d128555