Find a copy in the library
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 to become a definitive reference for all those who work in this area. Detailed worked examples and case studies also make the book accessible to students." --Kevin Murphy, Department of Computer Science, University of British Columbia Read more...
User-contributed reviews
Add a review and share your thoughts with other readers.
Be the first.
Add a review and share your thoughts with other readers.
Be the first.
Tags
Add tags for "Probabilistic graphical models : principles and techniques".
Be the first.
