图 书 馆
无限隐藏关系模型中的快速推理Fast Inference in Infinite Hidden Relational Models |
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| 课程网址: | http://videolectures.net/mlg07_xu_fiiih/ |
| 主讲教师: | Zhao Xu |
| 开课单位: | 慕尼黑大学 |
| 开课时间: | 2007-09-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Relational learning is an area of growing interest in machine learning (Dzeroski & Lavrac, 2001; Friedman et al., 1999; Raedt & Kersting, 2003). Xu et al. (2006) introduced the infinite hidden relational model (IHRM) which views relational learning in context of the entity-relationship database model with entities, attributes and relations (compare also (Kemp et al., 2006)). In the IHRM, for each entity a latent variable is introduced. The latent variable is the only parent of the other entity attributes and is a parent of relationship attributes. The number of states in each latent variable is entity class specific. Therefore it is sensible to work with Dirichlet process (DP) mixture models in which each entity class can optimize its own representational complexity in a self-organized way. For our discussion it is sufficient to say that we integrate a DP mixture model into the IHRM by simply letting the number of hidden states for each entity class approach infinity. Thus, a natural outcome of the IHRM is a clustering of the entities providing interesting insight into the structure of the domain. |
| 关 键 词: | 关系学习; 无限隐藏关系模型; 实体关系数据库模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-06-30：cjy |
| 阅读次数: | 38 |