图 书 馆
图表方法和数据几何Graph methods and geometry of data |
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| 课程网址: | http://videolectures.net/sicgt07_belkin_gmagod/ |
| 主讲教师: | Mikhail Belkin |
| 开课单位: | 俄亥俄州立大学 |
| 开课时间: | 2007-09-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In recent years graph-based methods have seen success in different machine learning applications, including clustering, dimensionality reduction and semi-supervised learning. In these methods a graph is associated to a data set, after which certain aspects of the graph are used for various machine learning tasks. It is, however, important to observe that such graphs are empirical objects corresponding to a randomly chosen set of data points. In my talk I will discuss some of our work on using spectral graph methods for dimensionality reduction and semi-supervised learning and certain theoretical aspects of these methods, in particular, when data is sampled from a low-dimensional manifold. |
| 关 键 词: | 机器学习; 图形; 光谱图方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-17：lxf |
| 阅读次数: | 51 |