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An Upper Bound on Checking Test Complexity for Almost All Cographs

机译:检查几乎所有图形的测试复杂性的上限

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摘要

The concept of a checking test is of prime interest to the study of a variant of exact identification problem, in which the learner is given a hint about the unknown object. A graph F is said to be a checking test for a co graph G iff for any other co graph H there exists an edge in F distinguishing G and H, that is, contained in exactly one of the graphs G and H. It is known that for any co graph G there exists a unique irredundant checking test, the number of edges in which is called the checking test complexity of G. We show that almost all co graphs on n vertices have relatively small checking test complexity of O(n log n). Using this result, we obtain an upper bound on the checking test complexity of almost all read-once Boolean functions over the basis of disjunction and parity functions.
机译:检查测试的概念对于精确识别问题的一种变体的研究非常重要,在该变体中,学习者会获得有关未知物体的提示。据说图F是对图G的检查测试,对于任何其他图H而言,在图F和图G和图H中恰好包含一个边,即在图G和图H中恰好包含一个边缘。对于任何协图G都有一个唯一的多余的检查测试,其边数称为G的检查测试复杂度。我们证明,n个顶点上的几乎所有共同图都具有相对较小的O(n log n)。使用这个结果,我们在析取和奇偶校验函数的基础上,获得了几乎所有一次读取布尔函数的检查测试复杂度的上限。

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