Searching for authors named "Vitaly Maiorov" – sorted by Relevance.
-
Approximation Bounds for Smooth Functions in C(R^d) by Neural and Mixture Networks
- Maiorov Department of Mathematics Technion, Haifa 32000 Israel Ron Meir y Department of Electrical
- Add To MetaCart
-
On the Value of Partial Information
- Learning from Examples and Side Information Joel Ratsaby Vitaly Maiorov Department
- Add To MetaCart
-
On the Learnability of Rich Function Classes
- loss function L q(h) Joel Ratsaby Manna Network Technologies, Tel Aviv 61574, Israel and Vitaly Maiorov
- Add To MetaCart
-
The degree of sets in Euclidian space using sets with bounded Vapnik-Chervonenkis dimension
- of approximation of sets in euclidean space using sets with bounded Vapnik-Chervonenkis dimension Vitaly Maiorov a
- Add To MetaCart
-
On the Value of Partial Information for Learning from Examples
- and Vitaly Maiorov† Department of Mathematics, Technion, Haifa, 32000 Israel Received August 15, 1996 The PAC
- Cited by 3 (2 self) – Add To MetaCart
-
Lower Bounds for Approximation by MLP Neural Networks
- Lower Bounds for Approximation by MLP Neural Networks Vitaly Maiorov and Allan Pinkus Abstract
- Cited by 4 (1 self) – Add To MetaCart
-
Approximation Bounds for Smooth Functions in
- Maiorov Department of Mathematics Technion, Haifa 32000 Israel Ron Meir y Department of Electrical
- Add To MetaCart
-
Towards Robust Model Selection using Estimation and Approximation Error Bounds
- Ronny Meir y Vitaly Maiorov z 1 Introduction One of the main problems in machine learning
- Cited by 9 (7 self) – Add To MetaCart
-
Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts
- Ronny Meir z Vitaly Maiorov x December 1995 Abstract In this paper we examine some mathematical
- Cited by 5 (4 self) – Add To MetaCart
-
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks
- .Bartlett@(email omitted); Vitaly Maiorov Department of Mathematics Technion, Haifa 32000 Israel Ron Meir Department of Electrical
- Cited by 11 (1 self) – Add To MetaCart

