Analyzing cognitive processes from complex neuro-physiologically based data: some lessons

DOI10.1007/S10472-019-09669-ZzbMath1465.62120OpenAlexW2970853909WikidataQ127330572 ScholiaQ127330572MaRDI QIDQ2023873

Alex Frid, Larry Michael Manevitz

Publication date: 3 May 2021

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-019-09669-z

zbMATH Keywords

classificationmachine learningfeature selectionanalysis of cognitive processesbrain correlates

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Cognition and neurocomputation

Uses Software

• AdaBoost.MH

Cites Work

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• Wrappers for feature subset selection
• A decision-theoretic generalization of on-line learning and an application to boosting
• Handbook of Functional MRI Data Analysis
• 10.1162/15324430260185574
• A theory for multiresolution signal decomposition: the wavelet representation
• Mining Imperfect Data

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