Correction for Model Selection Bias Using a Modified Model Averaging Approach for Supervised Learning Methods Applied to EEG Experiments

This paper proposes a modified model averaging approach for linear discriminant analysis. This approach is used in combination with a doubly hierarchical supervised learning analysis and applied to preclinical pharmaco-electroencephalographical data for classification of psychotropic drugs. Classification of a test dataset was highly improved with this method.

Publication year:2010

Keywords:EEG, Fractional polynomials, Linear discriminant analysis, Linear mixed model, Model average, Supervised learning

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BOF-publication weight:1

CSS-citation score:1

Authors from:Higher Education

Accessibility:Open