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学习算法及其估算

Algorithms for Learning and their Estimates
课程网址: http://videolectures.net/mlss05us_smale_alte/  
主讲教师: Steve Smale
开课单位: 加州大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
我们将尝试给出反映我们当前知识的“正则化最小二乘”界限的基本说明。讨论的框架是再生核Hilbert空间,具有回归的观点。作为这些想法的必然结果,我们将看到对二元分类问题的一些估计。谈话将基于与Felipe Cucker和Ding Xuan的合作?周。
课程简介: We will try to give an elementary account of bounds for "regularized least squares" that reflects our current knowledge. The framework for the discussion is that of Reproducing Kernel Hilbert Spaces, with a regression point of view. As a corollary of these ideas we will see some estimates for the binary classification problem. The talk will be based on joint work with Felipe Cucker and Ding-Xuan? Zhou.
关 键 词: 正则化最小二乘; 回归; 二元分类
课程来源: 视频讲座网
最后编审: 2019-07-10:lxf
阅读次数: 67