图 书 馆
基于布雷格曼分歧的代价敏感学习Cost-sensitive learning based on Bregman divergences |
|
| 课程网址: | http://videolectures.net/ecmlpkdd09_santos_rodriguez_cslb/ |
| 主讲教师: | Raúl Santos-Rodríguez |
| 开课单位: | 马德里卡洛斯三世大学 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper analyzes the application of a particular class of Bregman divergences to design cost-sensitive classifiers for multiclass problems. We show that these divergence measures can be used to estimate posterior probabilities with maximal accuracy for the probability values that are close to the decision boundaries. Asymptotically, the proposed divergence measures provide classifiers minimizing the sum of decision costs in non-separableproblems, and maximizing a margin in separable MAP problems. |
| 关 键 词: | 后验概率; 决策成本; 最大化利润 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-02-07：nkq |
| 阅读次数: | 72 |