图 书 馆
支持向量与内核方法Support Vector and Kernel Methods |
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| 课程网址: | http://videolectures.net/acai05_taylor_svkm/ |
| 主讲教师: | John Shawe-Taylor |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The lectures will introduce the kernel methods approach to pattern analysis through the particular example of support vector machines for classification. The presentation touches on: generalization, optimization, dual representation, kernel design and algorithmic implementations. We then broaden the discussion to consider general kernel methods by introducing different kernels, different learning tasks, and subspace methods such as kernel PCA. The aim is to give a view of the subject that will enable a newcomer to the field to gain his bearings so that they can move to apply or develop the techniques for their particular application. |
| 关 键 词: | 向量; 内核; 方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-31：lxf |
| 阅读次数: | 45 |