Distributed Parameter Estimation in Probabilistic Graphical Models
This paper presents foundational theoretical results on distributed parameter estimation for undirected probabilistic graphical models. It introduces a general condition on composite likelihood decompositions of these models which guarantees the global consistency of distributed estimators, provided...
| Автори: | , , |
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| Формат: | Conference item |
| Опубліковано: |
University of Oxford
2014
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