Advances in Bayesian Networks (2004) (Studies in Fuzziness and Soft Computing #146)
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- Synopsis
- In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.
- Copyright:
- 2004
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540398790
- Related ISBNs:
- 9783540208761
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 07/19/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- José A. Gámez
- Edited by:
- Serafin Moral
- Edited by:
- Antonio Salmerón Cerdan
Reviews
Other Books
- by José A. Gámez
- by Serafin Moral
- by Antonio Salmerón Cerdan
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics