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024 7 $a10.1007/978-3-319-28379-1
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100   $a20160107d2015      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aAdvanced Methodologies for Bayesian Networks$b[electronic resource] $eSecond International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings /$fedited by Joe Suzuki, Maomi Ueno
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (XVIII, 265 p. 102 illus. in color.)
225 1 $aLecture Notes in Artificial Intelligence ;$v9505
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-28378-2 
327   $aEffectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization.
330   $aThis volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015. The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying graphical models in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on.
410  0$aLecture Notes in Artificial Intelligence ;$v9505
606   $aArtificial intelligence
606   $aAlgorithms
606   $aMathematical statistics
606   $aComputers
606   $aDatabase management
606   $aApplication software
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aIntel·ligència artificial$2thub
606   $aEstadística bayesiana$2thub
608   $aCongressos$2thub
608   $aLlibres electrònics$2thub
615  0$aArtificial intelligence.
615  0$aAlgorithms.
615  0$aMathematical statistics.
615  0$aComputers.
615  0$aDatabase management.
615  0$aApplication software.
615 14$aArtificial Intelligence.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aProbability and Statistics in Computer Science.
615 24$aComputation by Abstract Devices.
615 24$aDatabase Management.
615 24$aInformation Systems Applications (incl. Internet).
615  7$aIntel·ligència artificial
615  7$aEstadística bayesiana
676   $a006.3
702   $aSuzuki$b Joe$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aUeno$b Maomi$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996466369303316
996   $aAdvanced Methodologies for Bayesian Networks$92831397
997   $aUNISA