Amazon cover image
Image from Amazon.com

Advanced methodologies for Bayesian networks : second international workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / Joe Suzuki, Maomi Ueno (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 9505. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, 2015Description: 1 online resource (xviii, 265 pages) : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319283791
  • 3319283790
Other title:
  • AMBN 2015
Subject(s): Genre/Form: Additional physical formats: Print version:: Advanced methodologies for Bayesian networks.DDC classification:
  • 006.3 23
LOC classification:
  • Q334
Online resources:
Contents:
Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed January 15, 2016).

Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization.

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.

English.

Powered by Koha