Approximate inference in probabilistic relational models
Probabilistic Relational Models (PRMs) are a type of directed graphical model used in the setting of statistical relational learning. PRMs are an extension to Bayesian networks, a popular model which assumes independence between observations. A PRM aims to exploit the logical structure that is often...
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| Format: | Others |
| Language: | en |
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McGill University
2012
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106522 |