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Apr, 2013
使用加权布尔公式的概率逻辑程序推理和学习
Inference and learning in probabilistic logic programs using weighted Boolean formulas
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Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Shterionov, Bernd Gutmann...
TL;DR
本文研究了一种具有概率注释的逻辑程序,并探讨了如何通过将程序和查询转换为加权布尔公式的方式,实现计算边际值、学习参数估计等推理任务,并通过预期最大化算法实现参数估计,实验结果证明,该方法可以提高概率逻辑编程的状态水平,并从解释中学习到程序的参数。
Abstract
probabilistic logic programs
are logic programs in which some of the facts are annotated with probabilities. This paper investigates how classical
inference
and
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