Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity
In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven) regressions, combined with techniques for ensuring stability, especially useful for high-dimensional datasets and small samples number. The sensitivity and specificity of the classifiers...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-01-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fnins.2017.00749/full |