图 书 馆
一致群稳定特征选择Consensus Group Stable Feature Selection |
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| 课程网址: | http://videolectures.net/kdd09_loscalzo_cgsfs/ |
| 主讲教师: | Steven Loscalzo |
| 开课单位: | 纽约州立大学 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection has a strong dependency on sample size. We propose a novel framework for stable feature selection which first identifies consensus feature groups from subsampling of training samples, and then performs feature selection by treating each consensus feature group as a single entity. Experiments on both synthetic and real-world data sets show that an algorithm developed under this framework is effective at alleviating the problem of small sample size and leads to more stable feature selection results and comparable or better generalization performance than state-of-the-art feature selection algorithms. |
| 关 键 词: | 稳定特征; 训练样本; 数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-12-22：liyy |
| 阅读次数: | 51 |