000 01380nam a22003855i 4500
001 978-3-642-20308-4
003 DE-He213
005 20130515022159.0
007 cr nn 008mamaa
008 110409s2011 gw | s |||| 0|eng d
020 _a9783642203084
_9978-3-642-20308-4
024 7 _a10.1007/978-3-642-20308-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aFreno, Antonino.
245 1 0 _aHybrid Random Fields
_h[electronic resource] :
_bA Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models /
_cby Antonino Freno, Edmondo Trentin.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _bdigital.
490 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v15
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aTrentin, Edmondo.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642203077
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v15
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-20308-4
912 _aZDB-2-ENG
999 _c84978
_d84978