The vapnik-chervonenkis dimension of a random graph
β Scribed by Martin Anthony; Graham Brightwell; Colin Cooper
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 652 KB
- Volume
- 138
- Category
- Article
- ISSN
- 0012-365X
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper we investigate a parameter defined for any graph, known as the Vapnik Chervonenkis dimension (VC dimension). For any vertex x of a graph G, the closed neighborhood N(x) of x is the set of all vertices of G adjacent to x, together with x. We say that a set D of vertices of G is shattered if every subset R of D can be realised as R = Dc~N(x) for some vertex x of G. The VC dimension of G is defined to be the largest cardinality of a shattered set of vertices. Our main result gives, for each positive integer d, the exact threshold function for a random graph G(n,p) to have VC dimension d.
π SIMILAR VOLUMES
A graph is a pair (V, I), V being the vertices and I being the relation of adjacency on V. Given a grqh G, then a collection of functions (fi}~ ,, each fi mapping each vertex of V into an arc on a fixed circle, is said to define an m-arc intersection model for G if for all x, y E V, xly e=, (Vi~ml(f
Roberts (F. S. Roberts, On the boxicity and cubicity of a graph. In Recent Progress in Cornbinarorics, W. T. Tutte, ed. Academic, New York (1 969)), studied the intersection graphs of closed boxes (products of closed intervals) in Euclidean n-space, and introduced the concept of the boxicity of a gr
The euclidean dimension of a graph G, e(G), is the minimum n such that the vertices of G can be placed in euclidean n-space, R", in such a way that adjacent vertices have distance 1 and nonadjacent vertices have distances other than 1. Let G = K(n,, . , ns+,+J be a complete (s + t + u)-partite graph