图 书 馆
快速的支持结构核向量机Fast Support Vector Machines for Structural Kernels |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_severyn_fast/ |
| 主讲教师: | Aliaksei Severyn |
| 开课单位: | 特伦托大学 |
| 开课时间: | 2011-10-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper, we propose three important enhancements of the approximate cutting plane algorithm (CPA) to train Support Vector Machines with structural kernels: (i) we exploit a compact yet exact representation of cutting plane models using directed acyclic graphs to speed up both training and classification, (ii) we provide a parallel implementation, which makes the training scale almost linearly with the number of CPUs, and (iii) we propose an alternative sampling strategy to handle class-imbalanced problem and show that theoretical convergence bounds are preserved. The experimental evaluations on three diverse datasets demonstrate the soundness of our approach and the possibility to carry out fast learning and classification with structural kernels. |
| 关 键 词: | 切削平面算法; 支持向量机; 抽样策略 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-24：yumf |
| 阅读次数: | 49 |