Vitaly Maiorov

According to our database, Vitaly Maiorov authored at least 23 papers between 1993 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2010

Geometric properties of the ridge function manifold.

Vitaly Maiorov

Adv. Comput. Math., 2010

2009

Approximation of Sobolev classes by polynomials and ridge functions.

Viktor N. Konovalov, Dany Leviatan, V. E. Maiorov

J. Approx. Theory, 2009

2008

Approximation by polynomials and ridge functions of classes of s-monotone radial functions.

Viktor N. Konovalov, Dany Leviatan, V. E. Maiorov

J. Approx. Theory, 2008

2006

Approximation by neural networks and learning theory.

Vitaly Maiorov

J. Complex., 2006

Pseudo-dimension and entropy of manifolds formed by affine-invariant dictionary.

Vitaly Maiorov

Adv. Comput. Math., 2006

2005

On lower bounds in radial basis approximation.

Vitaly Maiorov

Adv. Comput. Math., 2005

2003

On best approximation of classes by radial functions.

Vitaly Maiorov

J. Approx. Theory, 2003

2001

Lower bounds for multivariate approximation by affine-invariant dictionaries.

Vitaly Maiorov, Ron Meir

IEEE Trans. Inf. Theory, 2001

2000

On the optimality of neural-network approximation using incremental algorithms.

Ron Meir, V. E. Maiorov

IEEE Trans. Neural Networks Learn. Syst., 2000

On the near optimality of the stochastic approximation of smooth functions by neural networks.

Vitaly Maiorov, Ron Meir

Adv. Comput. Math., 2000

1999

Distortion bounds for vector quantizers with finite codebook size.

Ron Meir, Vitaly Maiorov

IEEE Trans. Inf. Theory, 1999

On the Learnability of Rich Function Classes.

Joel Ratsaby, Vitaly Maiorov

J. Comput. Syst. Sci., 1999

Lower bounds for approximation by MLP neural networks.

Vitaly Maiorov, Allan Pinkus

Neurocomputing, 1999

1998

Approximation bounds for smooth functions in C(R^d) by neural and mixture networks.

V. E. Maiorov, R. S. Meir

IEEE Trans. Neural Networks, 1998

Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts.

Assaf J. Zeevi, Ron Meir, Vitaly Maiorov

IEEE Trans. Inf. Theory, 1998

Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks.

Peter L. Bartlett, Vitaly Maiorov, Ron Meir

Neural Comput., 1998

The Degree of Approximation of Sets in Euclidean Space Using Sets with Bounded Vapnik-Chervonenkis Dimension.

Vitaly Maiorov, Joel Ratsaby

Discret. Appl. Math., 1998

On the Optimality of Incremental Neural Network Algorithms.

Ron Meir, Vitaly Maiorov

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

On the Value of Partial Information for Learning from Examples.

Joel Ratsaby, Vitaly Maiorov

J. Complex., 1997

Generalization of the PAC-Model for Learning with Partial Information.

Joel Ratsaby, Vitaly Maiorov

Proceedings of the Computational Learning Theory, Third European Conference, 1997

1996

About Widths of Wiener Space in the <i>L_q</i>-Norm.

Vitaly Maiorov

J. Complex., 1996

Towards Robust Model Selection Using Estimation and Approximation Error Bounds.

Joel Ratsaby, Ron Meir, Vitaly Maiorov

Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1993

Average <i>n</i>-Widths of the Wiener Space in the <i>L</i>_infinity-Norm.

Vitaly Maiorov

J. Complex., 1993