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A lattice-based representation of independence relations for efficient closure computation

机译:基于格子的独立关系表示,有效闭合计算

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Independence relations in general include exponentially many statements of independence, that is, exponential in the number of variables involved. These relations are typically characterised however, by a small set of such statements and an associated set of derivation rules. While various computational problems on independence relations can be solved by manipulating these smaller sets without the need to explicitly generate the full relation, existing algorithms for constructing these sets are associated with often prohibitively high running times. In this paper, we introduce a lattice structure for organising sets of independence statements and show that current algorithms are rendered computationally less demanding by exploiting new insights in the structural properties of independence gained from this lattice organisation. By means of a range of experimental results, we subsequently demonstrate that through the lattice organisation indeed a substantial gain in efficiency is achieved for fast-closure computation of semi-graphoid independence relations in practice. (C) 2020 Published by Elsevier Inc.
机译:独立关系一般包括指数级别的独立陈述,即涉及变量数量的指数。然而,这些关系通常是由一小组这样的陈述和相关的一组衍生规则。虽然通过操纵这些较小的组可以解决独立关系的各种计算问题而无需明确地生成完整关系,但是用于构造这些集合的现有算法与通常过度的运行时间相关联。在本文中,我们介绍了组织独立性陈述的格子结构,并表明当前算法通过利用从该格子组织中获得的独立结构性质的新见解来计算苛刻的要求。通过一系列实验结果,我们随后证明,通过格子组织的实际上,实现了在实践中的半石灰独立关系的快速计算的基础上实现了效率的大量增益。 (c)2020由elsevier公司发布

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