Fine tuning the tree augmented Naïve Bayes (FTTAN) learning algorithm

In this work, we adapt the fine tuning algorithm of Naïve Bayes (NB) for Tree Augmented Naïve Bayes (TAN). The adapted algorithm, takes into consideration the differences in structure between NB and TAN. The algorithm augments the regular TAN learning phase with a fine tuning phase in which the pr...

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Bibliographic Details

Published in:	2015 SAI Intelligent Systems Conference (IntelliSys) pp. 72 - 79
Main Authors:	Alhussan, Amel, El Hindi, Khalil
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2015
Subjects:	Bayesian Network (BN) Classification accuracy Classification algorithms Estimation fine tuning Intelligent systems Niobium Prediction algorithms TAN models Training Tree Augmented Naïve Bayes (TAN) Tuning
Online Access:	Get full text
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