Fully Bayesian Analysis of Relevance Vector Machine Classification With Probit Link Function for Imbalanced Data Problem

Fully Bayesian Analysis of Relevance Vector Machine Classification With Probit Link Function for Imbalanced Data Problem

The original RVM classification model uses the logistic link function to build the likelihood function making the model hard to be conducted since the posterior of the weight parameter has no closed-form solution. This article proposes the probit link function approach instead of the logistic one fo...

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Bibliographic Details
Main Authors: Wenyang Wang, Dongchu Sun, Peng Shao, Haibo Kuang, Cong Sui
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bayesian analysis
imbalanced data problem
probit link function
RVM classification
Online Access:https://ieeexplore.ieee.org/document/9334970/

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