Bounding sample size with the Vapnik-Chervonenkis dimension
โ Scribed by John Shawe-Taylor; Martin Anthony; N.L. Biggs
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 431 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0166-218X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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 shattere
The degree of approximation of infinite-dimensional function classes using finite n-dimensional manifolds has been the subject of a classical field of study in the area of mathematical approximation theory. In Ratsaby and Maiorov (1997), a new quantity p,(F, L,) which measures the degree of approxim