This volume constitutes the refereed proceedings of theSecond 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 abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
Effectivenessof graphical models including modeling. Reasoning, model selection.- Logic-probabilityrelations.- Causality. Applying graphical models in real world settings.- Scalability.- Incremental learning.-Parallelization.
This volume constitutes the refereed proceedings of theSecond 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 abstractspresented were carefully reviewed and selected from numerous submissions.
This volume constitutes the refereed proceedings of theSecond 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 abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
Inhaltsverzeichnis
Effectivenessnof graphical models including modeling. Reasoning, model selection.- Logic-probabilitynrelations.- Causality. Applying graphical models in real world settings.- Scalability.- Incremental learning.-Parallelization.
Klappentext
rnThis volume constitutes the refereed proceedings of thernSecond International Workshop on Advanced Methodologies for Bayesian Networks,rnAMBN 2015, held in Yokohama, Japan, in November 2015.rnrnrnrnThe 18 revised full papers and 6 invited abstractsrnpresented were carefully reviewed and selected from numerous submissions. Inrnthe International Workshop on Advanced Methodologies for Bayesian Networksrn(AMBN), the researchers explore methodologies for enhancing the effectivenessrnof graphical models including modeling, reasoning, model selection,rnlogic-probability relations, and causality. The exploration of methodologies isrncomplemented discussions of practical considerations for applying graphicalrnmodels in real world settings, covering concerns like scalability, incrementalrnlearning, parallelization, and so on.
Includes supplementary material: sn.pub/extras
