Does SVM Really Scale Up to Large Bag of Words Feature Spaces?

Author:

Colas Fabrice,Paclík Pavel,Kok Joost N.,Brazdil Pavel

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Burges, C., Crisp, D.: Uniqueness of the svm solution. In: Proceedings of the 12th Conference on Neural Information Processing Systems, MIT Press, Cambridge, MA (1999)

2. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001)

3. Colas, F., Brazdil, P.: On the behavior of svm and some older algorithms in binary text classification tasks. In: Proceedings of TSD2006, Text Speech and Dialogue, pp. 45–52 (2006)

4. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and other kernel based learning methods. Cambridge University Press, Cambridge (2000)

5. Lecture Notes in Artificial Intelligence;W. Daelemans,2003

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