A factoring approach for probabilistic inference in belief networks
Reasoning about any realistic domain always involves a degree of uncertainty. Probabilistic inference in belief networks is one effective way of reasoning under uncertainty. Efficiency is critical in applying this technique, and many researchers have been working on this topic. This thesis is the re...
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| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1957/35631 |