Data Selection Using Decision Tree for SVM Classification

Abstract

Support Vector Machine (SVM) is an important classification method used in a many areas. The training of SVM is almost O(n^{2}) in time and space. Some methods to reduce the training complexity have been proposed in last years. Data selection methods for SVM select most important examples from training data sets to improve its training time. This paper… (More)
DOI: 10.1109/ICTAI.2012.105

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Cite this paper

@article{Chau2012DataSU, title={Data Selection Using Decision Tree for SVM Classification}, author={Asdr{\'u}bal L{\'o}pez Chau and Lourdes L{\'o}pez-Garc{\'i}a and Jair Cervantes and Xiaoou Li and Wen Yu}, journal={2012 IEEE 24th International Conference on Tools with Artificial Intelligence}, year={2012}, volume={1}, pages={742-749} }