核方法的优化Optimization for Kernel Methods |
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课程网址: | http://videolectures.net/mlss06au_keerthi_okm/ |
主讲教师: | Sathiya Keerthi |
开课单位: | 雅虎 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 优化方法在支持向量机和核逻辑回归等核方法中起着至关重要的作用。在不同的场景中,不同的优化算法比其他算法更适合。本主题六讲的目的是:(1)介绍在用核方法求解分类问题时出现的一系列优化问题;(2)简要回顾相关优化算法;并(3)详细指出哪些优化方法适合于这些不同的问题。 |
课程简介: | Optimization methods play a crucial role in kernel methods such as Support Vector Machines and Kernel Logistic Regression. In a variety of scenarios, different optimization algorithms are better suited than others. The aims of the six lectures in this topic are: (1) to introduce a range of optimization problems that arise in the solution of classification problems by kernel methods; (2) to briefly review the relevant optimization algorithms; and (3) to point out in some detail as to which optimization methods are suited for these varied problems. |
关 键 词: | 优化算法; 核逻辑; 向量机 |
课程来源: | 视频讲座网 |
数据采集: | 2022-11-02:chenjy |
最后编审: | 2023-05-13:chenjy |
阅读次数: | 30 |