图 书 馆
随机投影，边距，内核和特征选择Random projection, margins, kernels, and feature-selection |
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| 课程网址: | http://videolectures.net/slsfs05_blum_rpmkf/ |
| 主讲教师: | Avrim Blum |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Random projection is a simple technique that can often provide insight into questions such as "why is it good to have a large margin?" or "what are kernels really doing and how are they similar to feature selection?" In this talk I will describe some simple learning algorithms using random projection. I will then discuss how, given a kernel as a black-box function, we can use various forms of random projection to extract an explicit small feature space that captures much of the power of the given kernel function. |
| 关 键 词: | 随机投影; 简单学习算法; 内核函数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-21：cwx |
| 阅读次数: | 37 |