A hierarchical and parallel method for training support vector machines

Lecture Notes in Computer Science

Volumn 3496, Issue I, 2005, Pages 881-886

  Wen, Yimin ^a,b   Lu, Baoliang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Hunan Industry Polytechnic   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; HIERARCHICAL SYSTEMS; PROBLEM SOLVING; VECTORS;

DIVIDE-AND-CONQUER PRINCIPLE; PARALLEL METHODS; SEQUENTIAL METHODS; TRAINING SUPPORT VECTOR MACHINES;

PATTERN RECOGNITION;

EID: 24944504067     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427391_141     Document Type: Conference Paper

References (11)

1. Vapnik, V.N.: Statistical Learning Theory. Wiley Interscience (1998)
2. Osuna, E., Freund, R., Girosi, F.: An Improved Training Algorithm for Support Vector Machines. In: Proceedings of IEEE NNSP'97 (1997) 276-285
3. Joachims, T.: Making Large-scale Support Vector Machine Learning Pratical. In: Schölkopf, B., Burges, C.J., Smola, A.J.(eds.), Advances in Kernel Methods-Support Vector Learning. MIT Press (2000) 169-184
4. Lu, B.L., Ito, M.: Task Decomposition and Module Combination Based on Class Relations: A Modular Neural Network for Pattern Classification. IEEE Transaction on Neural Networks, 10 (1999) 1244-1256
5. Lu, B.L., Wang, K.A., Utiyama, M., Isahara, H.: A Part-versus-part Method for Massively Parallel Training of Support Vector Machines. In: Proceedings of IJCNN'04. Budapest, Hungary (2004) 735-740
6. Schwaighofer, A., Tresp, V.: The Bayesian Committee Support Vector Machine. In: Dorffner, G., Bischof, H., and Hornik, K.(eds.), Proceedings of ICANN 2001. Lecture Notes in Computer Science, Springer Verlag, 2130 (2001) 411-417
7. Schölkopf, B., Burges, C., and Vapnik, V.N.: Extracting Support Data for a Given Task. In: Proceedings of the First International Conference on Knowledge Discovery & Data Mining. Menlo Park, CA (1995) 252-257
8. Syed, N.A., Liu, H., Sung, K.K.: Incremental Learning with Support Vector Machines. In: Proceedings of the Workshop on Support Vector Machines at the International Joint Conference on Artificial Intelligence. Stockholm, Sweden (1999)
9. Wen, Y.M. and Lu, B.L.: A Cascade Method for Reducing Training Time and the Number of Support Vectors. In: Proceedings of ISNN2004. Dalian, China. Lecture Notes in Computer Science, Springer Verlag, 3173 (2004) 480-485
10. Blake, C.L., and Merz, C. J.: UCI. In: ftp://ftp.ics.uci.edu/pub/machine-learning-databases (1998)
11. Ke, H.X. and Zhang, X.G.: Editing Support Vector Machines. In: Proceedings of IJCNN'01. Washington, USA (2001) 1464-1467