多维数据集图束:强未指定多值函数和关系的新表示

S. Grygiel, M. Perkowski, M. Marek-Sadowska, T. Luba, L. Józwiak
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引用次数: 14

摘要

有效的函数表示对于多值分解器的速度和内存需求非常重要。本文提出了多值关系(特别是函数)的一种新的表示形式,称为多值立方体图束(MVCDB)。mvcdb通过用变量值标记它们的块和有效地表示块来改进粗糙分区表示。MVCDB表示对于非常不明确的多值输入、多值输出函数和关系(典型的机器学习应用)特别有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cube diagram bundles: a new representation of strongly unspecified multiple-valued functions and relations
Efficient function representation is very important for speed and memory requirements of multiple-valued decomposers. This paper presents a new representation of multiple-valued relations (functions in particular), called multiple-valued cube diagram bundles (MVCDB). MVCDBs improve on rough partition representation by labeling their blocks with variable values and by representing blocks efficiently. The MVCDB representation is especially efficient for very strongly unspecified multiple-valued input, multiple-valued output functions and relations, typical for machine learning applications.
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