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概率密度估计框架

A Framework for Probability Density Estimation
课程网址: http://videolectures.net/ripd07_david_fbd/  
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:
该演讲通过评估一组“测试函数”的性能,介绍了学习概率密度函数的新框架。理论分析表明,我们可以通过训练它来适应一个小的子样本来定制一类任务的分布。在用于分发的分布类的复杂性和任务集的复杂性之间存在折衷。实验证据支持理论分析。
课程简介: The talk introduces a new framework for learning probability density functions by assessing their performance against a set of 'test functions'. A theoretical analysis suggests that we can tailor a distribution for a class of tasks by training it to fit a small subsample. There is a trade-off between the complexity of the class of distributions used for the distribution and the complexity of the set of tasks. Experimental evidence is given to support the theoretical analysis.
关 键 词: 测试函数; 概率密度; 任务集
课程来源: 视频讲座网
最后编审: 2019-09-17:lxf
阅读次数: 63