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Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings: 9505 (Lecture Notes in Computer Science, 9505) - Softcover
Synopsis
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.
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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.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch. Seller Inventory # 9783319283784
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783319283784
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 abstract. Seller Inventory # 106034101
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