密度估计与非参数指数族Estimating Densities with Non-Parametric Exponential Families |
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课程网址: | http://videolectures.net/nipsworkshops2012_yuan_densities/ |
主讲教师: | Lin Yuan; Sergey Kirshnery; Robert Givan |
开课单位: | 普渡大学 |
开课时间: | 2013-01-16 |
课程语种: | 英语 |
中文简介: | 密度估计:X是支持X的随机变量的向量? R M。 非参数指数族:可以获得指数族作为优化的解决方案 最小化相对熵的问题,以匹配时刻 经验分布的约束^ fn和f En。 |
课程简介: | Density Estimation:X is a vector of random variables with support X Rm. Non-Parametric Exponential Family:Exponential families can be obtained as a solution to the optimization problem of minimizing the relative entropy subject to matching the moment constraints of empirical distribution ^fn and f En . |
关 键 词: | Density Estimation; Non-Parametric Exponential Family; Formulation |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-15:wuyq |
阅读次数: | 50 |