Smooth representation of rankings

A. Mazumdar, O. Milenkovic
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引用次数: 1

Abstract

An encoding of data for digital storage is called smooth, if, for any small change in the raw data, only a proportionately small change has to be made in the encoded data. In this paper, we consider the problem of smooth encoding for ordinal data, i.e., ranking of objects. It is shown that, simple efficient smooth encoding for storage (as well as compression) of rankings is possible with respect to the well-known Kendall τ metric on permutations.
流畅的排名表示
数字存储的数据编码称为平滑,如果对于原始数据的任何微小变化,只需要在编码数据中进行成比例的小变化。在本文中,我们考虑了有序数据的平滑编码问题,即对象排序问题。研究表明,相对于排列上著名的肯德尔τ度量,简单有效的平滑编码存储(以及压缩)排名是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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