Linear programming support vector machines

Pattern Recognition

Volumn 35, Issue 12, 2002, Pages 2927-2936

  Zhou, Weida ^a   Zhang, Li ^a   Jiao, Licheng ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Generalization performance; Linear programming; Statistical learning theory; Support vector machines; VC dimension

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; LINEAR PROGRAMMING;

SUPPORT VECTOR MACHINES (SVMS);

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0036887673     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00210-2     Document Type: Article

References (20)

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10. Evolution and generalization of a size neurone. II. Complexity of statistical classifiers and sample size consideration
11. Estimating the generalization performance of a SVM efficiently
12. How good are support vector machines
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14. Fast training of support vector machines using sequential minimal optimization