Multiple Model Classification Using SVM-based Approach

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2003, Pages 1581-1586

  Ma, Yunqian ^a   Cherkassky, Vladimir ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; REGRESSION ANALYSIS;

LINEAR CLASSIFIERS;

NONLINEAR SYSTEMS;

EID: 0141571534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. V. Cherkassky and F. Mulier, Learning from Data: Concepts, Theory and Methods. Wiley, 1998.
2. V. Vapnik, the Nature of Statistical learning theory, Springer, 1995.
3. T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning. Data Mining, Inference and Prediction, Springer, 2001.
4. V. Cherkassky and Y. Ma, "SVM- based Learning for Multiple Model Estimation", IEEE Trans. Neural Networks (under review), 2002.
5. J. Ghosh, "Multiclassifier Systems: Back to the Future", in Multiple Classifier Systems 2002, J. Kittler and F. Roli (Eds.), LNCS vol. 2364, Springer, 2002, pp. 1-15.
6. L. Breiman, J. Friedman, R. Olshen and C. Stone, Classification and Regression Trees, Wadsworth, 1984