图 书 馆
稀有类分析的局部分解Local Decomposition for Rare Class Analysis |
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| 课程网址: | http://videolectures.net/kdd07_wu_ldrc/ |
| 主讲教师: | Junjie Wu |
| 开课单位: | 俄勒冈州立大学 |
| 开课时间: | 2007-08-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class problem remains a critical challenge, because there is no natural way developed for handling imbalanced class distributions. This paper thus fills this crucial void by developing a method for Classification using lOcal clusterinG (COG). Specifically, for a data set with an imbalanced class distribution, we perform clustering within each large class and produce sub-classes with relatively balanced sizes. Then, we apply traditional supervised learning algorithms, such as Support Vector Machines (SVMs), for classification. Indeed, our experimental results on various real-world data sets show that our method produces significantly higher prediction accuracies on rare classes than state-of-the-art methods. Furthermore, we show that COG can also improve the performance of traditional supervised learning algorithms on data sets with balanced class distributions. |
| 关 键 词: | 多标记数据集; 不平衡类分布; 平衡类分布 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-09：lxf |
| 阅读次数: | 50 |