Strengthening Probabilistic Graphical Models: The Purge-and-Merge Algorithm
Probabilistic graphical models (PGMs) are powerful tools for solving systems of complex relationships over a variety of probability distributions. However, while tree-structured PGMs always result in efficient and exact solutions, inference on graph (or loopy) structured PGMs is not guaranteed to di...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/8db894f4a89a4f99b9f59e778cd426a1 |
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