Labeled sample compression schemes for complexes of oriented matroids

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-04-12 DOI:10.1016/j.jcss.2024.103543
Victor Chepoi , Kolja Knauer , Manon Philibert
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Abstract

We show that the topes of a complex of oriented matroids (abbreviated COM) of VC-dimension d admit a proper labeled sample compression scheme of size d. This considerably extends results of Moran and Warmuth on ample classes, of Ben-David and Litman on affine arrangements of hyperplanes, and of the authors on complexes of uniform oriented matroids, and is a step towards the sample compression conjecture – one of the oldest open problems in computational learning theory. On the one hand, our approach exploits the rich combinatorial cell structure of COMs via oriented matroid theory. On the other hand, viewing tope graphs of COMs as partial cubes creates a fruitful link to metric graph theory.

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定向矩阵复合体的标记样本压缩方案
这大大扩展了莫兰(Moran)和沃姆斯(Warmuth)关于充裕类、本-大卫(Ben-David)和利特曼(Litman)关于超平面仿射排列以及作者关于均匀定向矩阵复合物的研究成果,是向样本压缩猜想--计算学习理论中最古老的未决问题之一--迈出的一步。一方面,我们的方法通过定向矩阵理论利用了 COM 丰富的组合单元结构。另一方面,将 COM 的顶点图视为部分立方体,与度量图理论建立了富有成效的联系。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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