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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Veröffentlicht in:	2015 SAI Intelligent Systems Conference (IntelliSys) S. 72 - 79
Hauptverfasser:	Alhussan, Amel, El Hindi, Khalil
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2015
Schlagworte:	Bayesian Network (BN) Classification accuracy Classification algorithms Estimation fine tuning Intelligent systems Niobium Prediction algorithms TAN models Training Tree Augmented Naïve Bayes (TAN) Tuning
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