On a Combinatorial Problem Arising in Machine Teaching

Fuente: arXiv
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Hauptverfasser: Håvardstun, Brigt, Kratochvíl, Jan, Sunde, Joakim, Telle, Jan Arne
Format: Preprint
Veröffentlicht: 2024
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author Håvardstun, Brigt
Kratochvíl, Jan
Sunde, Joakim
Telle, Jan Arne
author_facet Håvardstun, Brigt
Kratochvíl, Jan
Sunde, Joakim
Telle, Jan Arne
contents We study a model of machine teaching where the teacher mapping is constructed from a size function on both concepts and examples. The main question in machine teaching is the minimum number of examples needed for any concept, the so-called teaching dimension. A recent paper [7] conjectured that the worst case for this model, as a function of the size of the concept class, occurs when the consistency matrix contains the binary representations of numbers from zero and up. In this paper we prove their conjecture. The result can be seen as a generalization of a theorem resolving the edge isoperimetry problem for hypercubes [12], and our proof is based on a lemma of [10].
format Preprint
id arxiv_https___arxiv_org_abs_2402_04907
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a Combinatorial Problem Arising in Machine Teaching
Håvardstun, Brigt
Kratochvíl, Jan
Sunde, Joakim
Telle, Jan Arne
Combinatorics
Machine Learning
G.2.1
We study a model of machine teaching where the teacher mapping is constructed from a size function on both concepts and examples. The main question in machine teaching is the minimum number of examples needed for any concept, the so-called teaching dimension. A recent paper [7] conjectured that the worst case for this model, as a function of the size of the concept class, occurs when the consistency matrix contains the binary representations of numbers from zero and up. In this paper we prove their conjecture. The result can be seen as a generalization of a theorem resolving the edge isoperimetry problem for hypercubes [12], and our proof is based on a lemma of [10].
title On a Combinatorial Problem Arising in Machine Teaching
topic Combinatorics
Machine Learning
G.2.1
url https://arxiv.org/abs/2402.04907