基于逻辑的SRL方法教程A Tutorial on Logic-Based Approaches to SRL |
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课程网址: | http://videolectures.net/ilpmlgsrl09_cussens_tlba/ |
主讲教师: | James Cussens |
开课单位: | 约克大学 |
开课时间: | 2009-09-18 |
课程语种: | 英语 |
中文简介: | 统计关系学习中的关系通常使用一阶逻辑来表达,从而形成将逻辑和概率表示相结合的形式。在本次演讲中,我打算解释采用逻辑方法对SRL的最重要后果。定义“可能世界”的分布是许多此类方法的共同主题。两个基于逻辑的逻辑主义马尔可夫逻辑网络和PRISM程序将被用作范例。虽然讲座本质上是教程,但我希望对那些已经熟悉这个领域的人感兴趣! |
课程简介: | The relations in Statistical Relational Learning are often expressed using first-order logic, leading to formalisms which combine both logical and probabilistic representations. In this talk I intend to explain the most important consequences of adopting a logical approach to SRL. Defining distributions over 'possible worlds' is a common theme to many such approaches. Two prominent logic-based formalisms - Markov logic networks and PRISM programs - will be used as exemplars. Although the talk is tutorial in nature, I hope to make it interesting to those already familiar with this area! |
关 键 词: | 统计关系学习; 逻辑; 概率 |
课程来源: | 视频讲座网 |
最后编审: | 2019-04-29:lxf |
阅读次数: | 73 |