图 书 馆
大规模半参数支持向量机训练的分解算法Decomposition Algorithms for Training Large-scale Semiparametric Support Vector Machines |
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| 课程网址: | http://videolectures.net/ecmlpkdd09_lee_datlsssvm/ |
| 主讲教师: | Sangkyun Lee |
| 开课单位: | 威斯康星大学 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We describe a method for solving large-scale semiparametric support vector machines (SVMs) for regression problems. Most of the approaches proposed to date for large-scale SVMs cannot accommodate the multiple equality constraints that appear in semiparametric problems. Our approach uses a decomposition framework, with a primal-dual algorithm to find an approximate saddle point for the min-max formulation of each subproblem. We compare our method with algorithms previously proposed for semiparametric SVMs, and show that it scales well as the number of training examples grows. |
| 关 键 词: | 求解回归; 半参数; 对偶算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-14：yumf |
| 阅读次数: | 67 |