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conference paper · IEEE International Conference on Granular Computing (GrC) · 2005

Classification using support vector machines with graded resolution

Lipo Wang, Bing Yu Liu, Chunru Wan

Cited by 31Abstract and details only

Abstract

A method which we call support vector machine with graded resolution (SVM-GR) is proposed in this paper. During the training of the SVM-GR, we first form data granules to train the SVM-GR and remove those data granules that are not support vectors. We then use the remaining training samples to train the SVM-GR. Compared with the traditional SVM, our SVM-GR algorithm requires fewer training samples and support vectors, hence the computational time and memory requirements for the SVM-GR are much smaller than those of a conventional SVM that use the entire dataset. Experiments on benchmark data sets show that the generalization performance of the SVM-GR is comparable to the traditional SVM.

Cite this paper

APA 7

Wang, L., Liu, B. Y., & Wan, C. (2005). Classification using support vector machines with graded resolution. IEEE International Conference on Granular Computing (GrC), 666–670 Vol. 2. https://doi.org/10.1109/grc.2005.1547374

MLA 9

Wang, Lipo, et al. “Classification using support vector machines with graded resolution.” IEEE International Conference on Granular Computing (GrC), 2005, pp. 666–670 Vol. 2, https://doi.org/10.1109/grc.2005.1547374.

Chicago

Wang, Lipo, Bing Yu Liu, and Chunru Wan. 2005. “Classification using support vector machines with graded resolution.” IEEE International Conference on Granular Computing (GrC): 666–670 Vol. 2. https://doi.org/10.1109/grc.2005.1547374.

Harvard

Wang, L., Liu, B.Y. and Wan, C. (2005) ‘Classification using support vector machines with graded resolution’, IEEE International Conference on Granular Computing (GrC), pp. 666–670 Vol. 2. Available at: https://doi.org/10.1109/grc.2005.1547374.

BibTeX
@article{wang2005classification,
  title = {{Classification using support vector machines with graded resolution}},
  author = {Wang, Lipo and Liu, Bing Yu and Wan, Chunru},
  journal = {IEEE International Conference on Granular Computing (GrC)},
  pages = {666--670 Vol. 2},
  year = {2005},
  doi = {10.1109/grc.2005.1547374}
}

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