Improving RBF networks by the feature selection approach EUBAFES

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1327, Issue , 1997, Pages 391-396

  Scherf, M ^a   Brauer, W ^b  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

RADIAL BASIS FUNCTION NETWORKS;

CLASSIFICATION ACCURACY; CURSE OF DIMENSIONALITY; DATA PREPROCESSING; INTRINSIC DIMENSIONALITIES; ROBUST FILTERS; TRAINING EXAMPLE; TWO-STEP APPROACH; WRAPPER APPROACH;

FEATURE EXTRACTION;

EID: 84956694541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020186     Document Type: Conference Paper

References (7)

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7. Wettschereck D., Aha D.W., Mohori T., A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms. Artificial Intelligence Review (to appear) (1997)