VC-dimensions for graphs (extended abstract)

3Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We study set systems over the vertex set (or edge set) of some graph that are induced by special graph properties like clique, connectedness, path, star, tree, etc. We derive a variety of combinatorial and computational results on the VC (Vapnik-Chervonenkis) dimension of these set systems. For most of these set systems (e.g. for the systems induced by trees, connected sets, or paths), computing the VC-dimension is an NP-hard problem. Moreover, determining the VC-dimension for set systems induced by neighborhoods of single vertices is complete for the class LoGNP. In contrast to these intractability results, we show that the VC-dimension for set systems induced by stars is computable in polynomial time. For set systems induced by paths, we determine the extremal graphs G with the minimum number of edges such that VCP(G) ≥ k. Finally, we show a close relation between the VC-dimension of set systems induced by connected sets of vertices and the VC dimension of set systems induced by connected sets of edges; the argument is done via the line graph of the corresponding graph.

Cite

CITATION STYLE

APA

Kranakis, E., Krizanc, D., Ruf, B., Urrutia, J., & Woeginger, G. J. (1995). VC-dimensions for graphs (extended abstract). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1017, pp. 1–13). Springer Verlag. https://doi.org/10.1007/3-540-60618-1_61

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free