A Novel Feature Selection Approach for Analyzing High dimensional Functional MRI Data

Abstract

Feature selection based on traditional multivariate methods is likely to obtain unstable and unreliable results in case of an extremely high dimensional space and very limited training samples. In order to overcome this difficulty, we introduced a novel feature selection method which combines the idea of stability selection approach and the elastic net… (More)

Topics

9 Figures and Tables

Cite this paper

@article{Li2015ANF, title={A Novel Feature Selection Approach for Analyzing High dimensional Functional MRI Data}, author={Zhiqiang Li and Yilun Wang and Yifeng Wang and Xiaona Wang and Junjie Zheng and Huafu Chen}, journal={CoRR}, year={2015}, volume={abs/1506.08301} }