19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007) A Novel Model of Working Set Selection for SMO Decomposition Methods Paris, France October 29-October 31 ISBN: 0-7695-3015-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.99
chines (SVMs) by decomposition methods, working set selection is an important technique, and some exciting schemes were employed into this field. To improve working set selection, we propose a new model for working set selection in sequential min- imal optimization (SMO) decomposition methods. In this model, it selects B as working set without reselection. Some properties are given by simple proof, and experiments demonstrate that the proposed method is in general faster than existing methods. Index Terms-- support vector machines, decomposition meth- ods, sequential minimal optimization, working set selection
Citation:
Zhen-Dong Zhao, Lei Yuan, Yu-Xuan Wang, Forrest Sheng Bao, Shun-Yi Zhang, Yan-Fei Sun, "A Novel Model of Working Set Selection for SMO Decomposition Methods," ictai, vol. 2, pp.283-290, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||