图 书 馆
基于树的集合模型正则化方法的凸优化Tree Based Ensemble Models Regularization by Convex Optimization |
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| 课程网址: | http://videolectures.net/nipsworkshops09_cornelusse_tbe/ |
| 主讲教师: | Bertrand Cornelusse |
| 开课单位: | 列日大学 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Tree based ensemble methods can be seen as a way to learn a kernel from a sample of input-output pairs. This paper proposes a regularization framework to incorporate non-standard information not used in the kernel learning algorithm, so as to take advantage of incomplete information about output values and/or of some prior information about the problem at hand. To this end a generic convex optimization problem is formulated which is first customized into a manifold regularization approach for semi-supervised learning, then as a way to exploit censored output values, and finally as a generic way to exploit prior information about the problem. |
| 关 键 词: | 集成方法; 优化方法; 凸优化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：wuyq |
| 阅读次数: | 70 |