图 书 馆
普遍性的关系，特征的内核和算法嵌入的措施On the relation between universality, characteristic kernels and RKHS embedding of measures |
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| 课程网址: | http://videolectures.net/aistats2010_sriperumbudur_otrbu/ |
| 主讲教师: | Bharath K. Sriperumbudur |
| 开课单位: | 圣地亚哥大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, etc. In this paper, we propose a notion of universality that generalizes the notions introduced by Steinwart and Micchelli et al. and study the necessary and sufficient conditions for a kernel to be universal. We show that all these notions of universality are closely linked to the injective embedding of a certain class of Borel measures into a reproducing kernel Hilbert space (RKHS). By exploiting this relation between universality and the embedding of Borel measures into an RKHS, we establish the relation between universal and characteristic kernels. The latter have been proposed in the context of the RKHS embedding of probability measures, used in statistical applications like homogeneity testing, independence testing, etc. |
| 关 键 词: | 普遍性的关系; 特征的内核; 算法嵌入 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-30：cwx |
| 阅读次数: | 92 |