Bayes in Wonderland! Predictive Supervised Classification Inference Hits Unpredictability

Bayes in Wonderland! Predictive Supervised Classification Inference Hits Unpredictability

The marginal Bayesian predictive classifiers (mBpc), as opposed to the simultaneous Bayesian predictive classifiers (sBpc), handle each data separately and, hence, tacitly assume the independence of the observations. Due to saturation in learning of generative model parameters, the adverse effect of...

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Bibliographic Details
Main Authors: Ali Amiryousefi, Ville Kinnula, Jing Tang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Mathematics
Subjects:
partition exchangeability
supervised classification
hypothesis testing
asymptotic statistics
predictive classifiers
Online Access:https://www.mdpi.com/2227-7390/10/5/828

Internet

https://www.mdpi.com/2227-7390/10/5/828

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