Transductive support vector machines using simulated annealing

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

Volumn 3801 LNAI, Issue , 2005, Pages 536-543

  Sun, Fan ^a   Sun, Maosong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; HEURISTIC METHODS; OPTIMIZATION; PROBLEM SOLVING; SIMULATED ANNEALING; VECTORS;

CLASSIFICATION FUNCTION; OPTIMIZATION PROBLEM; SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

EID: 33646843591     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_78     Document Type: Conference Paper

References (8)

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4. Ingber, L., 1993. Simulated annealing: Practice versus theory, Mathl. Comput. Modelling 18, 11, 29-57.
5. Joachims, T., 1999. Transductive inference for text classification using support vector machines. In: International Conference on Machine Learning (ICML), 1999, pp. 200-209.
6. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P., 1983. Optimization by Simulated Annealing, Science, 220, 4598, 671-680.
7. Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A., Teller, E., 1953. Equation of State Calculations by Fast Computing Machines, J. Chem. Phys., 21, 6, 1087-1092.
8. Vapnik, V., 1998, Statistical Learning Theory. Wiley.