MARC Record from harvard_bibliographic_metadata

LEADER: 01371nam a2200277 a 45e0
001 009138189-4
005 20030722113313.0
008 030701s2004 njua b 001 0 eng d
020 $a0130125342
035 0 $aocm52534097
040 $aMUU$cMUU
050 00 $aQA279.5$b.N436 2004
082 04 $a519.542$221
090 $aQA279.5$b.N436 2004
100 1 $aNeapolitan, Richard E.
245 10 $aLearning Bayesian networks /$cRichard E. Neapolitan.
260 $aUpper Saddle River, N.J. :$bPearson Prentice Hall,$cc2004.
300 $axv, 674 p. :$bill. ;$c24 cm.
504 $aIncludes bibliographical references (p. 647-666) and index.
505 0 $aBasics. Introduction to Bayesian networks ; More DAG/Probability relationships -- Interface. Inference : discrete variables ; More inference algorithms ; Influence diagrams -- Learning. Parameter learning : binary variables ; More parameter learning ; Bayesian structure learning ; Approximate Bayesian structure learning ; Constraint-based learning ; More structure learning -- Applications.
650 0 $aBayesian statistical decision theory.
650 0 $aMachine learning.
650 0 $aNeural networks (Computer science)
776 08 $iOnline version:$aNeapolitan, Richard E.$tLearning Bayesian networks.$dUpper Saddle River, N.J. : Pearson Prentice Hall, ©2004$w(OCoLC)654378159
988 $a20030708
906 $0OCLC