Algorithms and applications for probabilistic relational models
The vast majority of real-world data is stored using relational representations. Unfortunately, many machine learning techniques are unable to handle rich relational models. Probabilistic Relational Models (PRMs) are an extension of the Bayesian network frame work which allows relational structure t...
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| Format: | Others |
| Language: | en |
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McGill University
2005
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98786 |