A Novel Bayesian Linear Regression Model for the Analysis of Neuroimaging Data
In this paper, we propose a novel Machine Learning Model based on Bayesian Linear Regression intended to deal with the low sample-to-variable ratio typically found in neuroimaging studies and focusing on mental disorders. The proposed model combines feature selection capabilities with a formulation...
Main Authors: | Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Manuel Desco, Maria Luisa Soto-Montenegro, Vanessa Gómez-Verdejo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/5/2571 |
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