Analysis of Bayesian anytime inference algorithms
This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance Agent testbed, a software artifact permitting comparison of dynamic reasoning algorithms used by an agent...
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| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1957/29631 |