Parameter Estimation in Mixtures of Truncated Exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains. On the other hand, estimating an MTE from data has turned out to be a difficult task, and most preva- lent learning methods treat parameter e...
| Main Authors: | , , , |
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| Format: | info:eu-repo/semantics/report |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10835/1552 |