A competitive learning approach to instance selection for support vector machines

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

Volumn 5914 LNAI, Issue , 2009, Pages 146-157

  Zechner, Mario ^a   Granitzer, Michael ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BOX CONSTRAINTS; COMPETITIVE LEARNING; CONVEX OBJECTIVES; DATA SETS; EXACT SOLUTION; EXECUTABLES; GROWING NEURAL GAS; INITIAL APPROXIMATION; INSTANCE SELECTION; LEARNING VECTOR QUANTIZATION; NEURAL GAS; QP-PROBLEM; RANDOM SAMPLING; REAL LIFE DATASETS; RUNTIMES; SAMPLING RATES; SOURCE CODES; SUPPORT VECTOR; SUPPORT VECTOR LEARNING; TRAINING SETS;

APPROXIMATION ALGORITHMS; CLASSIFICATION (OF INFORMATION); GEARS; KNOWLEDGE ENGINEERING; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; PETROLEUM REFINING; VECTOR QUANTIZATION; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 77249162695     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10488-6_17     Document Type: Conference Paper

References (11)

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