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基于逻辑的SRL方法教程

A Tutorial on Logic-Based Approaches to SRL
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