First order statistics based feature selection: A diverse and powerful family of feature seleciton techniques

Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012

Volumn 2, Issue , 2012, Pages 151-157

  Khoshgoftaar, Taghi ^a   Dittman, David ^a   Wald, Randall ^a   Fazelpour, Alireza ^a  

^a FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

Classification; DNA Microarray; Feature Selection

Indexed keywords

CHANGE RATIO; CLASSIFICATION RESULTS; COMPUTATION TIME; COMPUTATIONAL TIME; DIMENSIONALITY REDUCTION TECHNIQUES; DIVERSE FEATURES; DNA MICRO-ARRAY; DNA MICROARRAY DATASETS; FEA-TURE SELECTIONS; FIRST ORDER; FIRST-ORDER STATISTICS; HIGH DIMENSIONALITY; MEAN AND STANDARD DEVIATIONS; SIGNAL TO NOISE; STATISTICAL MEASURES; UNIVARIATE;

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; EXPERIMENTS; FEATURE EXTRACTION; GENES; LEARNING SYSTEMS; METAL DRAWING;

BIOINFORMATICS;

EID: 84873577328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2012.192     Document Type: Conference Paper

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