图 书 馆
天秤座Libra |
|
| 课程网址: | http://videolectures.net/icml2010_lowd_libra/ |
| 主讲教师: | Daniel Lowd |
| 开课单位: | 俄勒冈大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The Libra machine learning toolkit includes implementations of a variety of algorithms for learning and inference with Bayesian networks and arithmetic circuits: Learning algorithms -- Structure learning for BNs and ACs; Chow-Liu algorithm; AC weight learning Inference algorithms - Mean field, belief propagation, Gibbs sampling, AC variable elimination, AC exact inference Libra's strength is exploiting context-specific independence (such as decision tree CPDs) to allow exact inference in models with high treewidth. |
| 关 键 词: | 算术电路; 贝叶斯网络; 吉布斯采样; 结构学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-28：cwx |
| 阅读次数: | 52 |