A Gaussian radial basis function based feature selection algorithm

IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn , Issue , 2011, Pages 53-56

  Liu, Zhiliang ^a,b   Zuo, Ming J ^b   Xu, Hongbing ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

cosine similarity; feature selection; Gaussian radial basis function; parameter selection

Indexed keywords

CLASSIFICATION ACCURACY; COSINE SIMILARITY; FEATURE SELECTION ALGORITHM; FEATURE SPACE; FEATURE SUBSET; GAUSSIAN RADIAL BASIS FUNCTIONS; HIGH-DIMENSIONAL FEATURE SPACE; KERNEL FUNCTION; OBJECTIVE FUNCTIONS; PARAMETER SELECTION; REDUNDANT FEATURES;

ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; MEASUREMENTS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 82955197389     PISSN: 21591547     EISSN: 21591555     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2011.6059931     Document Type: Conference Paper

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