probamap：一个可扩展的发现概率之间的映射的分类工具][ProbaMap: a scalable tool for discovering probabilistic mappings between taxonomies]

probamap：一个可扩展的发现概率之间的映射的分类工具 ProbaMap: a scalable tool for discovering probabilistic mappings between taxonomies


课程网址:	http://videolectures.net/akbc2010_tournaire_prma/
主讲教师:	Remi Tournaire
开课单位:	格勒诺布尔大学
开课时间:	2010-06-07
课程语种:	英语
中文简介:	本文研究了一种定义和发现两个分类法之间概率映射的原则方法。首先，我们比较了两种建模概率映射的方法，这两种方法与每种分类法中声明的逻辑约束兼容。然后我们描述了一个生成和测试算法(称为ProbaMap)，它最小化了对概率估计器的调用次数，以确定那些概率超过某个阈值的映射。最后，对该方法进行了实验分析。
课程简介:	In this paper, we investigate a principled approach for defining and discovering probabilistic mappings between two taxonomies. First, we compare two ways of modeling probabilistic mappings which are compatible with the logical constraints declared in each taxonomy. Then we describe a generate and test algorithm (called ProbaMap) which minimizes the number of calls to the probability estimator for determining those mappings whose probability exceeds a certain threshold. Finally, we provide an experimental analysis of this approach.
关键词:	估计器; 概率; 映射
课程来源:	视频讲座网
最后编审:	2020-06-08：heyf
阅读次数:	45

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