Information theoretic properties of Markov Random Fields, and their algorithmic applications
Markov random fields are a popular model for high-dimensional probability distributions. Over the years, many mathematical, statistical and algorithmic problems on them have been studied. Until recently, the only known algorithms for provably learning them relied on exhaustive search, correlation de...
| Main Authors: | , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
2018-06-11T18:02:46Z.
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| Subjects: | |
| Online Access: | Get fulltext |