A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs
The framework of Bayesian networks is a widely popular formalism for performing belief update under uncertainty. Structure re- stricted Bayesian network models such as the Naive Bayes Model and Tree-Augmented Naive Bayes (TAN) Model have shown impressive per- formance for solving classi cation t...
| Hlavní autoři: | , , , , , |
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| Médium: | info:eu-repo/semantics/article |
| Jazyk: | English |
| Vydáno: |
2017
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| On-line přístup: | http://hdl.handle.net/10835/4857 |