Partial Least Squares Regression Performs Well in MRI-Based Individualized Estimations

Partial Least Squares Regression Performs Well in MRI-Based Individualized Estimations

Estimation of individuals’ cognitive, behavioral and demographic (CBD) variables based on MRI has attracted much research interest in the past decade, and effective machine learning techniques are of great importance for these estimations. Partial least squares regression (PLSR) is an attractive mac...

Full description

Bibliographic Details
Main Authors: Chen Chen, Xuyu Cao, Lixia Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroscience
Subjects:
machine learning
multi-label learning
regression
classification
resting state fMRI
resting state functional connection
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01282/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.01282/full

Similar Items