图 书 馆
梯度权重帮助非参数回归系数Gradient Weights help Nonparametric Regressors |
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| 课程网址: | http://videolectures.net/nips2012_kpotufe_regressors/ |
| 主讲教师: | Samory Kpotufe |
| 开课单位: | 普林斯顿大学 |
| 开课时间: | 2013-01-16 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In regression problems over real d, the unknown function f often varies more in some coordinates than in others. We show that weighting each coordinate i with the estimated norm of the ith derivative of f is an efficient way to significantly improve the performance of distance-based regressors, e.g. kernel and k-NN regressors. We propose a simple estimator of these derivative norms and prove its consistency. Moreover, the proposed estimator is efficiently learned online. |
| 关 键 词: | 回归问题; 解释变量; 估计量; 导数规范 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-02：毛岱琦(课程编辑志愿者) |
| 阅读次数: | 37 |