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分类的贝叶斯分析

PAC-Bayes Analysis of Classification
课程网址: http://videolectures.net/aop07_shawe_taylor_pba/  
主讲教师: John Shawe-Taylor
开课单位: 伦敦大学学院
开课时间: 2007-12-14
课程语种: 英语
中文简介:
本讲座将介绍PAC Bayes方法在学习统计分析中的应用。在一些历史介绍之后,主要定理将被覆盖。然后我们将考虑一些应用,包括支持向量机和新奇检测。对该方法中先验知识的现状的讨论将导致对如何将先验知识应用于实际应用的研究。关于进一步扩展这一方法的讨论将结束发言。
课程简介: The lecture will introduce the PAC Bayes approach to the statistical analysis of learning. After some historical introduction, the key theorems will be covered. We will then consider some applications including for Support Vector Machines and novelty detection. A discussion of the status of the prior in the approach will lead to an investigation of how learning the prior can be used in practical applications. Discussions of further extensions of the approach will conclude the presentation.
关 键 词: 分类; 贝叶斯; 分析
课程来源: 视频讲座网
最后编审: 2021-02-04:nkq
阅读次数: 29