| Record ID | marc_columbia/Columbia-extract-20221130-005.mrc:7103197:1679 |
| Source | marc_columbia |
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LEADER: 01679fam a2200349 a 4500
001 2004959
005 20220609050258.0
008 951102t19961996nyua b 001 0 eng d
010 $a 96197757
020 $a0387915028
035 $a(OCoLC)ocm35213855
035 $9AMN0214CU
035 $a2004959
040 $aMnU$cMnU$dWaU$dDLC$dOrLoB-B
042 $alccopycat
050 04 $aQA279.5$b.J46 1996
082 00 $a006.3/33/01519542$221
100 1 $aJensen, Finn V.$0http://id.loc.gov/authorities/names/n80022675
245 13 $aAn introduction to Bayesian networks /$cFinn V. Jensen.
246 30 $aBayesian networks
260 $aNew York :$bSpringer,$c[1996], ©1996.
300 $ax, 178 pages :$billustrations ;$c24 cm +$e1 computer disc (3 1/2 in.)
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
500 $aTitle on computer disk: Hugin demonstration (version 4.5).
538 $aSystem requirements for accompanying computer disk: IBM compatible PC; Windows '95.
504 $aIncludes bibliographical references (p. 167-173) and index.
505 00 $g1.$tIntroduction --$g2.$tCausal and Bayesian networks --$g3.$tBuilding models --$g4.$tPropagation in Bayesian networks --$g5.$tUse of Bayesian network models --$g6.$tActions --$gA.$tConstruction of junction trees (proofs) --$gB.$tValue of information (proofs).
650 0 $aBayesian statistical decision theory$xData processing.
650 0 $aMachine learning.$0http://id.loc.gov/authorities/subjects/sh85079324
650 0 $aNeural networks (Computer science)$0http://id.loc.gov/authorities/subjects/sh90001937
852 00 $bmat$hQA279.5$i.J46 1996g$zAccompanied by 1 computer diskette