Bayesian networks and decision graphs

＜図書＞
Bayesian networks and decision graphs

責任表示	Finn V. Jensen, Thomas D. Nielsen
シリーズ	Information science and statistics / series editors M. Jordan ... [et al.]
データ種別	図書
版	2nd ed.
出版情報	New York : Springer , c2007
本文言語	英語
大きさ	xvi, 447 p. : ill. ; 25 cm
概要	Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem ...omains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models.続きを見る
電子版へのリンク	https://hdl.handle.net/2324/6992427

状態	巻次	所蔵場所	請求記号	刷年	文庫名称	資料番号	コメント	予約・取寄	複写申込	自動書庫
		理系図3F 数理独自	JENS/7/1a	2007		023212007002746		予約・取寄			予約・取寄

一般注記	Includes bibliographical references and index
著者標目	*Jensen, Finn V. Nielsen, Thomas D.
件　名	LCSH:Bayesian statistical decision theory -- Data processing 全ての件名で検索 LCSH:Machine learning LCSH:Neural networks (Computer science) LCSH:Decision making
分　類	LCC:QA279.5 DC21:519.5/42
書誌ID	1001242736
ISBN	9780387682815
NCID	BA82603511
巻冊次	ISBN:9780387682815 ; XISBN:0387682813
登録日	2009.09.18
更新日	2017.02.18