Shared by:oxx78
Written by Daphne Koller
Edition: 2009
Format(s): PDF
Language: English
"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
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| Info Hash: | 9f26ae72265269884f9b69ca0b2701f2615c2a19 |
| Creation Date: | Thu, 03 May 2012 11:19:11 +0400 |
| This is a Multifile Torrent | |
| Probabilistic Graphical Models- Principles and Techniques[Team Nanban][TPB].pdf 66.17 MBs | |
| README.txt 2.13 KBs | |
| Release Notes.txt 862 Bytes | |
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| Combined File Size: | 66.17 MBs |
| Piece Size: | 128 KBs |
| Comment: | Updated by theebooksbay.com |
| Torrent Encoding: | UTF-8 |
| Seeds: | 67 |
| Peers: | 8 |
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