skip to content
Probabilistic graphical models : principles and techniques
ClosePreview this item

Probabilistic graphical models : principles and techniques

Author: Daphne Koller; Nir Friedman
Publisher: Cambridge (Mass.) : MIT Press, cop. 2009.
Series: Adaptive computation and machine learning; Adaptative computation and machine learning series.
Edition/Format:   Book : English
Summary:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Rating:

(not yet rated) 0 with reviews - Be the first.

 

Find a copy in the library

Retrieving... Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: Daphne Koller; Nir Friedman
ISBN: 9780262013192 0262013193
OCLC Number: 690374254
Description: 1 vol. (XXXV-1231 p.) : ill. ; 24 cm.
Series Title: Adaptive computation and machine learning; Adaptative computation and machine learning series.
Responsibility: Daphne Koller, Nir Friedman.
More information:

Reviews

Editorial reviews

Publisher Synopsis

"This landmark book provides a very extensive coverage of the field, ranging from basic representational issues to the latest techniques for approximate inference and learning. As such, it is likely Read more...

 
User-contributed reviews
Retrieving weRead reviews...
Retrieving GoodReads reviews...
Retrieving Amazon reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.