图 书 馆
18.465 统计学专题：统计学习理论18.465 Topics in Statistics: Statistical Learning Theory |
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| 课程网址: | http://ocw.mit.edu/courses/mathematics/18-465-topics-in-statistic... |
| 主讲教师: | Dmitry Panchenko |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2007-01-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory. |
| 关 键 词: | 机器学习算法; 支持向量机; 神经网络; 维数理论; 积空间; 集中不等式; 经验过程理论 |
| 课程来源: | 麻省理工学院公开课 |
| 最后编审: | 2024-02-03：chenjy |
| 阅读次数: | 24 |