Multi‐segments Naïve Bayes classifier in likelihood space

Multi‐segments Naïve Bayes classifier in likelihood space

Naïve Bayes (NB) classifier has shown amazing performance in many real applications. However, the true probability distributions are usually unknown and tend to be quite complicated with high feature dimensions. Incorrect estimation models will decrease classification performance. In this study, a n...

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Bibliographic Details
Main Authors: Zhenchong Zhao, Xiaodan Wang
Format: Article
Language:English
Published: Wiley 2018-09-01
Series:IET Computer Vision
Subjects:
multisegments Naïve Bayes classifier
likelihood space
incorrect estimation models
error reduction
posterior probability
conditional probability distribution
Online Access:https://doi.org/10.1049/iet-cvi.2017.0546

Internet

https://doi.org/10.1049/iet-cvi.2017.0546

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