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A new family of proximity graphs: Class cover catch digraphs

机译:一个新的接近图族:类覆盖捕获图

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摘要

Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs-class cover catch digraphs (CCCDs). CCCDs are a special case of catch digraphs. Solving, the underlying CCP is equivalent to finding a smallest cardinality dominating set for the associated CCCD, which in turn provides regularization for statistical pattern classification. Some relevant properties of CCCDs are studied and a characterization of a family of CCCDs is given. (c) 2006 Elsevier B.V. All rights reserved.
机译:基于机器学习和统计模式分类中的问题,我们调查了一个类别覆盖问题(CCP),以及相关的有向图族-类覆盖捕获图(CCCD)系列。 CCCD是捕获图的特例。解决,底层CCP等效于为关联的CCCD找到最小的基数控制集,这反过来又为统计模式分类提供了正则化。研究了CCCD的一些相关特性,并给出了一系列CCCD的特性。 (c)2006 Elsevier B.V.保留所有权利。

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