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Volumn 2871, Issue , 2003, Pages 640-645
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Extracting the most discriminant subset from a pool of candidates to optimize discriminant classifier training
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Author keywords
[No Author keywords available]
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Indexed keywords
HEURISTIC ALGORITHMS;
INTELLIGENT SYSTEMS;
OPTIMIZATION;
SPEECH RECOGNITION;
HEURISTIC METHODS;
NEURAL NETWORKS;
PERSONNEL TRAINING;
PROBLEM SOLVING;
DISCRIMINANT CLASSIFIERS;
HEURISTIC SEARCH METHODS;
PROBLEM SOLUTIONS;
RANDOM BEHAVIOR;
RANDOM SELECTION;
REAL APPLICATIONS;
SPEAKER VERIFICATION;
TRAINING SUBSETS;
NON-TARGET CLASS (NTC);
OPTIMUM SIZE;
TARGET CLASS (TC);
HEURISTIC METHODS;
ARTIFICIAL INTELLIGENCE;
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EID: 7444250249
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-540-39592-8_92 Document Type: Conference Paper |
Times cited : (5)
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References (6)
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