The Feasibility of the Dirichlet Assumption in Tree Augmented Naïve Bayesian Classifiers
碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 94 === The naïve Bayesian classifier and the tree augmented naïve Bayesian classifier are two widely used classifiers. All attributes must be conditional independent in a naïve Bayesian classifier, while each attribute can have at most one correlated attribute...
Main Authors: | Yu-Lin Cheng, 鄭宇麟 |
---|---|
Other Authors: | Tzu-Tsung Wong |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/79966122586651444844 |
Similar Items
-
Generalized Dirichlet Priors for Naïve Bayesian Classifiers with Multinomial Models in Classifying Gene Sequence Data
by: Mu-YingWu, et al.
Published: (2012) -
Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers
by: Dawei Li, et al.
Published: (2017-01-01) -
Averaged Extended Tree Augmented Naive Classifier
by: Aaron Meehan, et al.
Published: (2015-07-01) -
Dirichlet Priors for Markov Naïve Bayesian Classifiers with Multinomial Model for Gene Sequence Data
by: Yun-DaHan, et al.
Published: (2013) -
Generalized Dirichlet priors for Multinomial Naïve Bayesian Classifier on High-Dimensional Imbalanced Data Sets
by: Hsing-ChenTsai, et al.
Published: (2019)