图 书 馆
探索编码的多类文本分类的层次分类矩阵空间Exploring the space of coding matrix classifiers for hierarchical multiclass text categorization |
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| 课程网址: | http://videolectures.net/sikdd2011_brank_hierarchical/ |
| 主讲教师: | Janez Brank |
| 开课单位: | 约瑟夫·斯特凡学院 |
| 开课时间: | 2011-11-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | One of the ways of approaching a multiclass classification problem is to transform it into several two-class (binary) classification problems. An ensemble of binary classifiers is trained for these tasks and their predictions are combined using a voting method into predictions for the original multiclass problem. Each of the new binary problems uses some of the original classes as positive training data, some classes as negative training data and the remaining classes (if any) are not used at all. The relationship between classes (of the original problem) and binary classifiers can be concisely represented by a matrix called the coding matrix. In this paper we explore some of the statistical properties of the space of coding matrix based classifiers in the context of a small hierarchical multiclass learning problem. |
| 关 键 词: | 机器学习; 集成方法; 计算机科学; 文本挖掘; 分类空间 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-28：yumf |
| 阅读次数: | 36 |