A family F of subsets of a finite set X shatters a set D X, if the intersections of the members of F with D coincide with the power set of D. The maximum size of a set shattered by F is the VC-dimension (or density) of the system. P. Frankl (1983, J. Combin. Theory Ser. A 34, 41 45) investigates the
On the complexity of approximating the VC dimension
β Scribed by Elchanan Mossel; Christopher Umans
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 181 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0022-0000
No coin nor oath required. For personal study only.
β¦ Synopsis
We study the complexity of approximating the VC dimension of a collection of sets, when the sets are encoded succinctly by a small circuit. We show that this problem is:
3 -hard to approximate to within a factor 2 Γ e for all e > 0; * approximable in AM to within a factor 2; and * AM-hard to approximate to within a factor N 1Γe for all e > 0:
To obtain the S p 3 -hardness result we solve a randomness extraction problem using list-decodable binary codes; for the positive result we utilize the Sauer-Shelah(-Perles) Lemma. We prove analogous results for the q-ary VC dimension, where the approximation threshold is q:
π SIMILAR VOLUMES
I4~, study the approximation o.f continuous mappings and dichotomies by one-hidden-layer networks from a computational point of view Our approach is based on a new approximation method specially designed for constructing "small networks. We give upper bounds on the size o.f these networks.
The frequency moments of a sequence containing m i elements of type i, 1 i n, are the numbers F k = n i=1 m k i . We consider the space complexity of randomized algorithms that approximate the numbers F k , when the elements of the sequence are given one by one and cannot be stored. Surprisingly, it
We characterize precisely the complexity of several natural computational problems in NP, which have been proposed but not categorized satisfactorily in the literature: Computing the Vapnik Chervonenkis dimension of a 0 1 matrix; finding the minimum dominating set of a tournament; satisfying a Boole
## Abstract The oriented diameter of a bridgeless connected undirected (__bcu__) graph __G__ is the smallest diameter among all the diameters of strongly connected orientations of __G__. We study algorithmic aspects of determining the oriented diameter of a chordal graph. We (a) construct a linearβ