图 书 馆
稀疏建模：统一理论与主题成像Sparse modeling: some unifying theory and “topic-imaging” |
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| 课程网址: | http://videolectures.net/aistats2011_yu_modeling/ |
| 主讲教师: | Bin Yu |
| 开课单位: | 加州大学伯克利分校 |
| 开课时间: | 2011-05-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Information technology has enabled collection of massive amounts of data in science, engineering, social science, finance and beyond. Extracting useful information from massive and high-dimensional data is the focus of today's statistical research and practice. After broad success of statistical machine learning on prediction through regularization, interpretability is gaining attention and sparsity is being used as its proxy. With the virtues of both regularization and sparsity, sparse modeling methods (e.g., Lasso) has attracted much attention for theoretial research and for data modeling. |
| 关 键 词: | 稀疏建模; 统一理论; 主题成像 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-28：nkq |
| 阅读次数: | 41 |