Shared domains of competence of approximate learning models using measures of separability of classes

Information Sciences

Volumn 185, Issue 1, 2012, Pages 43-65

  Luengo, Julián ^a   Herrera, Francisco ^a  

^a CITIC   (Spain)

Author keywords

Classification; Data complexity; Domains of competence; Multi Layer Perceptron; Radial Basis Function Network; Support Vector Machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; BEHAVIOR PATTERNS; COMPLEX CONFIGURATION; COMPLEXITY METRICS; DATA COMPLEXITY; DATA SETS; LEARNING METHODS; LEARNING MODELS; LEARNING VECTOR QUANTIZATION; MULTI LAYER PERCEPTRON; PERFORMANCE OF CLASSIFIER; RADIAL BASIS FUNCTIONS; SEQUENTIAL MINIMAL OPTIMIZATION; SUPPORT VECTOR;

NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VECTOR QUANTIZATION; VECTORS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 80755128993     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2011.09.022     Document Type: Article

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