图 书 馆
马尔可夫逻辑网络的识别结构与参数学习Discriminative Structure and Parameter Learning for Markov Logic Networks |
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| 课程网址: | http://videolectures.net/icml08_huynh_dspl/ |
| 主讲教师: | Tuyen Ngoc Huynh |
| 开课单位: | 德克萨斯大学 |
| 开课时间: | 2008-07-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphical models. Existing methods for learning the logical structure of an MLN are not discriminative; however, many relational learning problems involve specific target predicates that must be inferred from given background information. We found that existing MLN methods perform very poorly on several such ILP benchmark problems, and we present improved discriminative methods for learning MLN clauses and weights that outperform existing MLN and traditional ILP methods. |
| 关 键 词: | 马尔可夫逻辑; 图形模型; 目标谓词 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-10：yumf |
| 阅读次数: | 83 |