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...
Main Authors: | , , , , , |
---|---|
Format: | info:eu-repo/semantics/article |
Language: | English |
Published: |
2017
|
Online Access: | http://hdl.handle.net/10835/4857 |