Return to home page
Searching: Muskingum library catalog
Record 24 of 1046
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Conference AMBN (Workshop) (2nd : 2015 : Yokohama-shi, Japan)
Title Advanced methodologies for Bayesian networks : second international workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / Joe Suzuki, Maomi Ueno (eds.).
Imprint Cham : Springer, 2015.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Lecture notes in artificial intelligence, 0302-9743 ; 9505
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9505.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Artificial intelligence -- Congresses.
Bayesian statistical decision theory -- Congresses.
Alt Name Suzuki, Joe,
Ueno, Maomi,
Add Title AMBN 2015
Description 1 online resource (xviii, 265 pages) : color illustrations.
Note International conference proceedings.
Includes author index.
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.
Note English.
Online resource; title from PDF title page (SpringerLink, viewed January 15, 2016).
ISBN 9783319283791 (electronic bk.)
3319283790 (electronic bk.)
9783319283784
3319283782
ISBN/ISSN 10.1007/978-3-319-28379-1
OCLC # 934802549
Additional Format Print version: International Workshop on Advanced Methodologies for Bayesian Networks (2nd : 2015 : Yokohama, Japan). Advanced methodologies for Bayesian networks. Cham : Springer, 2015 3319283782 9783319283784 (OCoLC)930996733