图 书 馆
图形的模式分析及生物信息学应用Pattern Analysis over Graphs, and Bioinformatics Applications |
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| 课程网址: | http://videolectures.net/aop09_vert_paog/ |
| 主讲教师: | Jean-Philippe Vert |
| 开课单位: | 巴黎高科矿业学校 |
| 开课时间: | 2009-12-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | 1. Classification and regression over graphs. Overview: positive definite graph kernels based on walk, subtrees etc.., as well as other non p.d. similarity functions (eg from graph matching) that can be used to compare graphs and do classification/regression with kernel methods. Applications: QSAR in chemistry, image classification 2. Detecting patterns in the context of regression or classification with a graph as prior knowledge over the features. Overview: in a classical regression/classification problem over high-dimensional vectors. Control the complexity, by using priors that can be derived from the graph over the vectors, and how they can be used as penalty functions for classification and regression. This will cover diffusion kernels and other kernels over graphs, fused lasso, structured group lasso. Application in bioinformatics. |
| 关 键 词: | 生物信息学; 图论; 模式识别 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-19：lxf |
| 阅读次数: | 36 |