What size net gives valid generalization?
Neural Computation
Approximation and estimation bounds for artificial neural networks
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Rate of approximation results motivated by robust neural network learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
The nature of statistical learning theory
The nature of statistical learning theory
Approximation and learning of convex superpositions
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
On the size of convex hulls of small sets
The Journal of Machine Learning Research
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
| Hi-index | 5.23 |
We show that "B is of type p 1" is a necessary and sufficient condition for a learnability of a class of linear bounded functionals with norm