Advanced Methodologies for Bayesian Networks

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18,2015. Proceedings, Lecture Notes in Computer Science 9505 – Lecture Notes in Artificial Intelligence

ISBN: 3319283782
ISBN 13: 9783319283784
Herausgeber: Joe Suzuki/Maomi Ueno
Verlag: Springer Verlag GmbH
Umfang: xviii, 265 S., 102 farbige Illustr., 265 p. 102 illus. in color.
Erscheinungsdatum: 25.02.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

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, logicprobability 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.

Artikelnummer: 8850336 Kategorie:

Beschreibung

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, logicprobability 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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …