图 书 馆
从解释学概率逻辑程序的参数Learning the Parameters of Probabilistic Logic Programs from Interpretations |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_thon_problog/ |
| 主讲教师: | Ingo Thon |
| 开课单位: | 鲁汶大学 |
| 开课时间: | 2011-11-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | ProbLog is a recently introduced probabilistic extension of the logic programming language Prolog, in which facts can be annotated with the probability that they hold. The advantage of this probabilistic language is that it naturally expresses a generative process over interpretations using a declarative model. Interpretations are relational descriptions or possible worlds. This paper introduces a novel parameter estimation algorithm LFI-ProbLog for learning ProbLog programs from partial interpretations. The algorithm is essentially a Soft-EM algorithm. It constructs a propositional logic formula for each interpretation that is used to estimate the marginals of the probabilistic parameters. The LFI-ProbLog algorithm has been experimentally evaluated on a number of data sets that justifi es the approach and shows its e ffectiveness. |
| 关 键 词: | 计算机科学; 逻辑; 软件和工具 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-13：邬启凡(课程编辑志愿者) |
| 阅读次数: | 64 |