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图分类的概率推理Probabilistic Inference for Graph Classification |
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| 课程网址: | http://videolectures.net/pmsb06_tsuda_pigc/ |
| 主讲教师: | Koji Tsuda |
| 开课单位: | 马克斯普朗克研究所 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Graph data is getting increasingly popular in, e.g., bioinfor- matics and text processing. A main dificulty of graph data processing lies in the intrinsic high dimensionality of graphs, namely, when a graph is represented as a binary feature vector of indicators of all possible sub- graphs, the dimensionality gets too large for usual statistical methods. |
| 关 键 词: | 统计学习; 机器学习; 结构化数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-27：zyk |
| 阅读次数: | 88 |