Classification via Two-Way Comparisons

Fuente: arXiv
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Hauptverfasser: Chrobak, Marek, Young, Neal E.
Format: Preprint
Veröffentlicht: 2023
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author Chrobak, Marek
Young, Neal E.
author_facet Chrobak, Marek
Young, Neal E.
contents Given a weighted, ordered query set $Q$ and a partition of $Q$ into classes, we study the problem of computing a minimum-cost decision tree that, given any query $q$ in $Q$, uses equality tests and less-than comparisons to determine the class to which $q$ belongs. Such a tree can be much smaller than a lookup table, and much faster and smaller than a conventional search tree. We give the first polynomial-time algorithm for the problem. The algorithm extends naturally to the setting where each query has multiple allowed classes.
format Preprint
id arxiv_https___arxiv_org_abs_2302_09692
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Classification via Two-Way Comparisons
Chrobak, Marek
Young, Neal E.
Data Structures and Algorithms
68P10, 68P30, 68W25, 94A45
E.4; G.1.6; G.2.2; H.3.1; I.4.2
Given a weighted, ordered query set $Q$ and a partition of $Q$ into classes, we study the problem of computing a minimum-cost decision tree that, given any query $q$ in $Q$, uses equality tests and less-than comparisons to determine the class to which $q$ belongs. Such a tree can be much smaller than a lookup table, and much faster and smaller than a conventional search tree. We give the first polynomial-time algorithm for the problem. The algorithm extends naturally to the setting where each query has multiple allowed classes.
title Classification via Two-Way Comparisons
topic Data Structures and Algorithms
68P10, 68P30, 68W25, 94A45
E.4; G.1.6; G.2.2; H.3.1; I.4.2
url https://arxiv.org/abs/2302.09692