图 书 馆
谱滤波学习向量场Learning Vector Fields with Spectral Filtering |
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| 课程网址: | http://videolectures.net/nipsworkshops09_rosasco_lvfsf/ |
| 主讲教师: | Lorenzo Rosasco |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a class of regularized kernel methods for vector valued learning, which are based on filtering the spectrum of the kernel matrix. The considered methods include Tikhonov regularization as a special case, as well as interesting alternatives such as vector valued extensions of L2 boosting. While preserving the good statistical properties of Tikhonov regularization, some of the new algorithms allows for a much faster implementation since they require only matrix vector multiplications. We discuss the computational complexity of the different methods, taking into account the regularization parameter choice step. The results of our analysis are supported by numerical experiments. |
| 关 键 词: | 向量值学习; 正则化核方法; 核矩阵 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 66 |