Open AccessUsing covariates for improving the minimum redundancy maximum relevance feature selection method
Author(s) -
OLCAY KURŞUN,
CEMAL OKAN ŞAKAR,
Oleg V. Favorov,
NİZAMETTİN AYDIN,
FİKRET GÜRGEN
Publication year - 2010
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/kswq-9855
Subject(s) - redundancy (engineering) , feature selection , covariate , relevance (law) , minimum redundancy feature selection , computer science , selection (genetic algorithm) , feature (linguistics) , statistics , data mining , artificial intelligence , machine learning , pattern recognition (psychology) , mathematics , political science , law , operating system , linguistics , philosophy