概率密度估计框架][A Framework for Probability Density Estimation]

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:	83

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