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二分图的贝叶斯非参数模型Bayesian nonparametric models for bipartite graphs |
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| 课程网址: | http://videolectures.net/nips2012_caron_graphs/ |
| 主讲教师: | François Caron |
| 开课单位: | INRIA研究机构 |
| 开课时间: | 2013-01-16 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We develop a novel Bayesian nonparametric model for random bipartite graphs. The model is based on the theory of completely random measures and is able to handle a potentially infinite number of nodes. We show that the model has appealing properties and in particular it may exhibit a power-law behavior. We derive a posterior characterization, an Indian Buffet-like generative process for network growth, and a simple and efficient Gibbs sampler for posterior simulation. Our model is shown to be well fitted to several real-world social networks. |
| 关 键 词: | 贝叶斯非参数模型; 二分图; 社交网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-31：yumf |
| 阅读次数: | 66 |