图 书 馆
学习贝叶斯网络Learning Bayesian Networks |
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| 课程网址: | http://videolectures.net/kdd07_neapolitan_lbn/ |
| 主讲教师: | Neapolitan Richard E |
| 开课单位: | 东北伊利诺伊大学 |
| 开课时间: | 2007-08-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Bayesian networks are graphical structures for representing the probabilistic relationships among a large number of variables and doing probabilistic inference with those variables. The 1990's saw the emergence of excellent algorithms for learning Bayesian networks from passive data. I will discuss the constraint-based learning method using an intuitive approach that concentrates on causal learning. Then I will discuss the Bayesian approach with some simple examples. I will show how, using the Bayesian approach, we can even learning something about causal influences from passive data on two variables. Finally, I will show some applications to finance and marketing. |
| 关 键 词: | 贝叶斯网络; 概率关系; 因果学习; 金融和营销 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-19：lxf |
| 阅读次数: | 107 |