图 书 馆
升压原理及其应用Theory and Applications of Boosting |
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| 课程网址: | http://videolectures.net/mlss09us_schapire_tab/ |
| 主讲教师: | Robert Schapire |
| 开课单位: | 普林斯顿大学 |
| 开课时间: | 2009-07-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Boosting is a general method for producing a very accurate classification rule by combining rough and moderately inaccurate "rules of thumb". While rooted in a theoretical framework of machine learning, boosting has been found to perform quite well empirically. This tutorial will introduce the boosting algorithm AdaBoost, and explain the underlying theory of boosting, including explanations that have been given as to why boosting often does not suffer from overfitting, as well as some of the myriad other theoretical points of view that have been taken on this algorithm. Some practical applications and extensions of boosting will also be described. |
| 关 键 词: | 计算学习理论; 机器学习; 算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：yumf |
| 阅读次数: | 30 |