随机森林和其他分类的平均连接器的一致性Consistency of random forests and other averaging classifiers |
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课程网址: | http://videolectures.net/sip08_biau_corfao/ |
主讲教师: | Gérard Biau |
开课单位: | 耶鲁大学 |
开课时间: | 2008-12-18 |
课程语种: | 英语 |
中文简介: | 在他生命的最后几年里,LeoBreiman推广随机森林用于分类。他建议用平均法来获得良好的歧视规则。用于求平均值的基本类是简单随机的,通常基于数据的随机样本。关于这些规则的一致性,他留下了几个问题没有回答。在本文中,我们给出了一些定理,这些定理建立了平均规则的普遍一致性。 |
课程简介: | In the last years of his life, Leo Breiman promoted random forests for use in classification. He suggested using averaging as a means of obtaining good discrimination rules. The base classifiers used for averaging are simple and randomized, often based on random samples from the data. He left a few questions unanswered regarding the consistency of such rules. In this talk, we give a number of theorems that establish the universal consistency of averaging rules. |
关 键 词: | 计算机科学; 机器学习; 回归; 统计学习 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-01:wuyq |
阅读次数: | 39 |