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http://hdl.handle.net/1783.1/777
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| Title: | Irrelevance and parameter learning in Bayesian networks |
| Authors: | Zhang, Nevin Lianwen |
| Keywords: | Bayesian networks
Parameter learning
Irrelevance
Efficiency |
| Issue Date: | 1996 |
| Citation: | Artificial Intelligence, v. 88, 1996, p. 359-373 |
| Abstract: | It is possible to learn the parameters of a given Bayesian network structure from data because those parameters influence the probability of observing the data. However, some of the parameters are irrelevant to the probability of observing a particular data case. This paper shows how such irrelevancies can be exploited to speedup various algorithms for parameter learning in Bayesian networks. |
| URI: | http://hdl.handle.net/1783.1/777 |
| Appears in Collections: | CSE Preprints
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| aij96.pdf | | 162Kb | Adobe PDF | View/Open |
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