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限制的内核,多内核学习

Limitations of kernel and multiple kernel learning
课程网址: http://videolectures.net/simbad2011_shawe_taylor_kernel/  
主讲教师: John Shawe-Taylor
开课单位: 伦敦大学学院
开课时间: 2011-10-17
课程语种: 英语
中文简介:
许多低Vapnik-Chervonenkis(因此在统计学上可学习)类不能以这样的方式表示为线性类,以便可以用大边缘方法学习它们。我们回顾了这些结果,然后考虑了多核内部学习的最新界限,这表明大边际方法可能更普遍适用。
课程简介: Many low Vapnik-Chervonenkis (and hence statistically learnable) classes cannot be represented as linear classes in such a way that they can be learnt with large margin approaches. We review these results and then consider recent bounds for multiple kernel learning that suggest large margin methods may be more general applicable.
关 键 词: 统计学习; 线性; 多核学习
课程来源: 视频讲座网
最后编审: 2020-06-29:wuyq
阅读次数: 71