000			01356nam a2200337 i 4500
999			_c101339 _d101345
003			MY-KuUP
005			20251125110930.0
006			a||||fo|||| 001 0
007			cr |||||||||||
008			240919s2021 sz |||fo|||| 001 0 eng d
020			_a9783030706791 _qebook
040			_beng _cUMP _erda _aUMPSA
090			_aQ325.5 .C56 2021
100	1		_aCinelli, Lucas Pinheiro, _eauthor.
245	1	0	_aVariational methods for machine learning with applications to deep networks / _cLucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto
264		1	_aCham : _bSpringer, _c2021
300			_a1 online resource
336			_2rdacontent _atext
337			_2rdamedia _acomputer
338			_2rdacarrier _aonline resource
504			_aIncludes bibliographical references and index
650		0	_aMachine learning
650		0	_aBayesian statistical decision theory
650		0	_aNeural networks (Computer science)
700	1		_aMarins, Matheus Araujo, _eauthor.
700	1		_aBarros da Silva, Eduardo Antonio _eauthor.
700	1		_aNetto, Sergio L., _eauthor.
856	4	0	_uhttps://link-springer-com.libraryumpsa.idm.oclc.org/book/10.1007/978-3-030-70679-1 _zOff-Campus link
856	4	0	_uhttps://link.springer.com/book/10.1007/978-3-030-70679-1 _zClick here to access (Direct Link)
942			_2lcc _cEBOOK