Learning in Graphical Models
Download or Read eBook Learning in Graphical Models PDF written by Michael Irwin Jordan and published by MIT Press. This book was released on 1999 with total page 652 pages. Available in PDF, EPUB and Kindle.
| Author | : Michael Irwin Jordan |
| Publisher | : MIT Press |
| Total Pages | : 652 |
| Release | : 1999 |
| ISBN-10 | : 0262600323 |
| ISBN-13 | : 9780262600323 |
| Rating | : 4/5 (23 Downloads) |
Book Synopsis Learning in Graphical Models by : Michael Irwin Jordan
Book excerpt: Presents an exploration of issues related to learning within the graphical model formalism. This text covers topics such as: inference for Bayesian networks; Monte Carlo methods; variational methods; and learning with Bayesian networks.
