图 书 馆
统计谓词的发明Statistical Predicate Invention |
|
| 课程网址: | http://videolectures.net/icml07_kok_spi/ |
| 主讲教师: | Stanley Kok |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2007-07-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in structured data, and generalizes hidden variable discovery in statistical models and predicate invention in ILP. We propose an initial model for SPI based on second-order Markov logic, in which predicates as well as arguments can be variables, and the domain of discourse is not fully known in advance. Our approach iteratively refines clusters of symbols based on the clusters of symbols they appear in atoms with (e.g., it clusters relations by the clusters of the ob jects they relate). Since different clusterings are better for predicting different subsets of the atoms, we allow multiple cross-cutting clusterings. We show that this approach outperforms Markov logic structure learning and the recently introduced infinite relational model on a number of relational datasets. |
| 关 键 词: | 归纳逻辑编程; 统计模型; 结构学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-08：chenjy |
| 最后编审: | 2022-11-08：chenjy |
| 阅读次数: | 29 |