图 书 馆
具有差异度量的多任务标签传播Multi-Task Label Propagation with Dissimilarity Measures |
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| 课程网址: | https://videolectures.net/videos/kdd2016_frasca_dissimilarity_mea... |
| 主讲教师: | Marco Frasca |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Multi-task algorithms typically use task similarity information as a bias to speed up learning. We argue that, when the classification problem is unbalanced, task dissimilarity information provides a more effective bias, as rare class labels tend to be better separated from the frequent class labels. In particular, we show that a multi-task extension of the label propagation algorithm for graph-based classification works much better on protein function prediction problems when the task relatedness information is represented using a dissimilarity matrix as opposed to a similarity matrix. |
| 关 键 词: | 差异度量; 多任务; 标签传播 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-03-16：liyq |
| 最后编审: | 2025-03-16：liyq |
| 阅读次数: | 5 |