Random generation of Bayesian Networks and Markov Decision Processes
Markov Decision Processes (MDPs) and Bayesian Networks (BNs) are two very different but equally prominent frameworks for modeling stochastic environments. As empirical testing and the use of randomized search algorithms gain increasing importance in machine learning and artificial intelligence, t...
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| Format: | Others |
| Language: | en |
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McGill University
2004
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81336 |