图 书 馆
分布相似性的主观测度Subjective Measure for Distribution Similarity |
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| 课程网址: | http://videolectures.net/ripd07_david_smd/ |
| 主讲教师: | Shai Ben-David |
| 开课单位: | 滑铁卢大学 |
| 开课时间: | 2008-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a 'subjective' way of defining similarity between probability distributions.Our measure is parameterized by a collection H of subsets of the domain over which the probability distributions are defined. Intuitively speaking, H is the collection of 'subsets of interest' with respect to theproperties of the distributions that one wishes to analyze. The motivation behind the introduction of that measure comes from real life scenarios in which one cares only about certain distribution changes. In contrast with more traditional notions of distribution similarity (such as the L1 Norm) our measure can be reliably estimated from a pair of finite samples drawn from the two distributions. We have demonstrated the usefulness of the new measure in several areas of applications, including change detection in streaming data, the analysis of sensor network data and domain adaptation learning. |
| 关 键 词: | 定义概率分布; 分布相似性; 传感器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-16：cjy |
| 阅读次数: | 43 |