Sample Complexity for Computational Classification Problems
โ Scribed by Daniil Ryabko
- Publisher
- Springer
- Year
- 2007
- Tongue
- English
- Weight
- 182 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0178-4617
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Two fundamental measures of the efficiency of a learning algorithm are its running time and the number of examples it requires (its sample complexity). In this paper we demonstrate that even for simple concept classes, an inherent tradeoff can exist between running time and sample complexity. We pre
We study the problem of determining, for a class of functions H, whether an unknown target function f is contained in H or is ``far'' from any function in H. Thus, in contrast to problems of learning, where we must construct a good approximation to f in H on the basis of sample data, in problems of