图 书 馆
学习内核和结构稀疏性的各种公式Various Formulations for Learning the Kernel and Structured Sparsity |
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| 课程网址: | http://videolectures.net/nipsworkshops2010_pontil_vfl/ |
| 主讲教师: | Massimiliano Pontil |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2011-01-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | I will review an approach to learning the kernel, which consists in minimizing a convex objective function over a prescribed set of kernel matrices. I will establish some important properties of this problem and present a reformulation of it from a feature space perspective. A well studied example covered by this setting is multiple kernel learning, in which the set of kernels is the convex hull of a finite set of basic kernels. I will discuss extensions of this setting to more complex kernel families, which involve additional constraints and a continuous parametrization. Some of these examples are motivated by multi-task learning and structured sparsity, which I will describe in some detail during the talk. |
| 关 键 词: | 内核; 凸目标函数; 参数化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 37 |