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基于“政府改造”:等级的评估使用欧几里德Renyi信息图的优化REGO: Rank-based estimation of Renyi information using Euclidean graph optimization |
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| 课程网址: | http://videolectures.net/aistats2010_poczos_rrbe/ |
| 主讲教师: | Barnabás Póczos |
| 开课单位: | 卡内基梅隆大学 |
| 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: | We propose a new method for a non-parametric estimation of Renyi and Shannon information for a multivariate distribution using a corresponding copula, a multivariate distribution over normalized ranks of the data. As the information of the distribution is the same as the negative entropy of its copula, our method estimates this information by solving a Euclidean graph optimization problem on the empirical estimate of the distribution's copula. Owing to the properties of the copula, we show that the resulting estimator of Renyi information is strongly consistent and robust. Further, we demonstrate its applicability in the image registration in addition to simulated experiments. |
| 关 键 词: | 政府改造; 等级的评估; 欧几里德; 信息图 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-30：cwx |
| 阅读次数: | 14 |