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100   $a20071215d2008      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aApproximation methods for efficient learning of Bayesian networks$b[electronic resource] /$fCarsten Riggelsen
210   $aAmsterdam ;$aWashington, DC $cIOS Press$dc2008
215   $a1 online resource (148 p.)
225 1 $aFrontiers in artificial intelligence and applications ;$vv. 168
225 1 $aDissertations in artificial intelligence
300   $aDescription based upon print version of record.
311   $a1-58603-821-4 
320   $aIncludes bibliographical references (p. [133]-137).
327   $aTitle page; Contents; Foreword; Introduction; Preliminaries; Learning Bayesian Networks from Data; Monte Carlo Methods and MCMC Simulation; Learning from Incomplete Data; Conclusion; References
330   $aThis publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible, albeit non-Bayesian. The topics discussed are: basic concepts about probabilities, graph theory and conditional independence; Bayesian network learning from data; Monte Carlo simulation techniques; and, the concept of incomplete data. In order t
410  0$aFrontiers in artificial intelligence and applications.$pDissertations in artificial intelligence.
410  0$aFrontiers in artificial intelligence and applications ;$vv. 168.
606   $aBayesian statistical decision theory
606   $aMachine learning
606   $aNeural networks (Computer science)
608   $aElectronic books.
615  0$aBayesian statistical decision theory.
615  0$aMachine learning.
615  0$aNeural networks (Computer science)
676   $a519.5
676   $a519.5/42
700   $aRiggelsen$b Carsten$0967219
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910453283703321
996   $aApproximation methods for efficient learning of Bayesian networks$92195731
997   $aUNINA