Aggregating multiple classification results using fuzzy integration and stochastic feature selection

International Journal of Approximate Reasoning

Volumn 51, Issue 8, 2010, Pages 883-894

  Pizzi, Nick J ^a,b   Pedrycz, Witold ^c  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b UNIVERSITY OF MANITOBA   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Computational intelligence; Data classification; Feature selection; Fuzzy integrals; Fuzzy sets; Pattern recognition

Indexed keywords

AGGREGATION STRATEGY; CLASSIFICATION PERFORMANCE; COMPUTATIONAL INTELLIGENCE; CURSE OF DIMENSIONALITY; DATA CLASSIFICATION; DISEASE STATE; FEATURE SELECTION; FUZZY INTEGRAL; FUZZY INTEGRATIONS; HIGH-DIMENSIONAL FEATURE SPACE; INDIVIDUAL CLASSIFIERS; INPUT FEATURES; MAGNETIC RESONANCE SPECTRA; MULTIPLE CLASSIFICATION; MULTIPLE CLASSIFIERS; SMALL SAMPLE SIZE; SPECTRAL FEATURE; STOCHASTIC FEATURE SELECTION;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FACE RECOGNITION; FUZZY SETS; INTEGRAL EQUATIONS; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY;

FEATURE EXTRACTION;

EID: 79551687808     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2010.05.003     Document Type: Article

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