Difference between revisions of "10-601 GM1"
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* factorization theorem of BN | * factorization theorem of BN | ||
| − | * | + | * Full, independent and intermediate conditional probability models |
| − | * | + | * Markov blanket |
| − | * | + | * Learning a BN |
| + | * Inference in BN is NP hard | ||
| + | * Approximate inference in BN | ||
Revision as of 09:09, 12 August 2014
Slides
Readings
Graphical Models by Michael I. Jordan
Taking home message
- factorization theorem of BN
- Full, independent and intermediate conditional probability models
- Markov blanket
- Learning a BN
- Inference in BN is NP hard
- Approximate inference in BN
