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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.
List of contents
Effectivenessof graphical models including modeling. Reasoning, model selection.- Logic-probabilityrelations.- Causality. Applying graphical models in real world settings.- Scalability.- Incremental learning.-Parallelization.
Summary
This 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.
