Using covariates for improving the minimum Redundancy Maximum Relevance feature selection method

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 18, Issue 6, 2010, Pages 975-987

  Kurşun, Olcay ^a   Şakar, C Okan ^b   Favorov, Oleg ^c   Aydin, Nizamettin ^d   Gürgen, Fikret ^e  

^a ISTANBUL UNIVERSITY   (Turkey)

^b BAHCESEHIR UNIVERSITY   (Turkey)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

^d YILDIZ TECHNICAL UNIVERSITY   (Turkey)

^e BOGAZICI UNIVERSITY   (Turkey)

Author keywords

MRMR; Mutual information; SINBAD covariates; Support vector machines; Unsupervised learning

Indexed keywords

COVARIATES; FEATURE SELECTION; FEATURE SELECTION METHODS; MAIN TASKS; MINIMAL SUBSET; MRMR; MUTUAL INFORMATIONS; SUPPORT VECTOR;

QUALITY ASSURANCE; REDUNDANCY; SUPPORT VECTOR MACHINES; UNSUPERVISED LEARNING;

FEATURE EXTRACTION;

EID: 78649365325     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-0906-75     Document Type: Article

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