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Introduction to Boosting
课程网址: http://videolectures.net/mlss06tw_ratsch_ib/  
主讲教师: Gunnar Rätsch
开课单位: 马克斯普朗克研究所
开课时间: 2007-02-25
课程语种: 英语
中文简介:
本课程介绍了Boosting和Ensemble Learning的理论和实践方面。我将首先简要介绍弱学习者及其线性组合的学习理论基础。然后我们指出Boosting和优化理论之间的有用联系,这有助于理解Boosting,后来使我们能够转向适用于更广泛问题的新Boosting算法。在本课程中,我们将讨论“交易技巧”,算法问题,实验结果和一些应用。
课程简介: This course provides an introduction to theoretical and practical aspects of Boosting and Ensemble Learning. I will begin with a short description of the learning theoretical foundations of weak learners and their linear combination. Then we point out the useful connection between Boosting and the Theory of Optimization, which facilitates the understanding of Boosting and later on enables us to move on to new Boosting algorithms, applicable to a broader spectrum of problems. In the course we will discuss "tricks of the trade", algorithmic issues, experimental results and a few applications.
关 键 词: 集成学习; 有效连接; Boosting算法
课程来源: 视频讲座网
最后编审: 2020-06-01:吴雨秋(课程编辑志愿者)
阅读次数: 40