Vitaly Maiorov

V. E. Maiorov

	2010
24		Vitaly Maiorov: Geometric properties of the ridge function manifold. Adv. Comput. Math. 32(2): 239-253 (2010)
	2009
23		Viktor N. Konovalov, Dany Leviatan, V. E. Maiorov: Approximation of Sobolev classes by polynomials and ridge functions. Journal of Approximation Theory 159(1): 97-108 (2009)
	2008
22		Viktor N. Konovalov, Dany Leviatan, V. E. Maiorov: Approximation by polynomials and ridge functions of classes of s-monotone radial functions. Journal of Approximation Theory 152(1): 20-51 (2008)
	2006
21		Vitaly Maiorov: Pseudo-dimension and entropy of manifolds formed by affine-invariant dictionary. Adv. Comput. Math. 25(4): 435-450 (2006)
20		Vitaly Maiorov: Approximation by neural networks and learning theory. J. Complexity 22(1): 102-117 (2006)
	2005
19		Vitaly Maiorov: On lower bounds in radial basis approximation. Adv. Comput. Math. 22(2): 103-113 (2005)
	2003
18		Vitaly Maiorov: On best approximation of classes by radial functions. Journal of Approximation Theory 120(1): 36-70 (2003)
	2001
17		Vitaly Maiorov, Ron Meir: Lower bounds for multivariate approximation by affine-invariant dictionaries. IEEE Transactions on Information Theory 47(4): 1569-1575 (2001)
	2000
16		Vitaly Maiorov, Ron Meir: On the near optimality of the stochastic approximation of smooth functions by neural networks. Adv. Comput. Math. 13(1): 79-103 (2000)
15		Ron Meir, V. E. Maiorov: On the optimality of neural-network approximation using incremental algorithms. IEEE Trans. Neural Netw. Learning Syst. 11(2): 323-337 (2000)
	1999
14		Ron Meir, Vitaly Maiorov: Distortion bounds for vector quantizers with finite codebook size. IEEE Transactions on Information Theory 45(5): 1621-1631 (1999)
13		Joel Ratsaby, Vitaly Maiorov: On the Learnability of Rich Function Classes. J. Comput. Syst. Sci. 58(1): 183-192 (1999)
12		Vitaly Maiorov, Allan Pinkus: Lower bounds for approximation by MLP neural networks. Neurocomputing 25(1-3): 81-91 (1999)
	1998
11		Peter L. Bartlett, Vitaly Maiorov, Ron Meir: Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks. NIPS 1998: 190-196
10		Ron Meir, Vitaly Maiorov: On the Optimality of Incremental Neural Network Algorithms. NIPS 1998: 295-301
9		Vitaly Maiorov, Joel Ratsaby: The Degree of Approximation of Sets in Euclidean Space Using Sets with Bounded Vapnik-Chervonenkis Dimension. Discrete Applied Mathematics 86(1): 81-93 (1998)
8		Assaf J. Zeevi, Ron Meir, Vitaly Maiorov: Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts. IEEE Transactions on Information Theory 44(3): 1010-1025 (1998)
7		V. E. Maiorov, R. S. Meir: Approximation bounds for smooth functions in C(Rd) by neural and mixture networks. IEEE Transactions on Neural Networks 9(5): 969-978 (1998)
6		Peter L. Bartlett, Vitaly Maiorov, Ron Meir: Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks. Neural Computation 10(8): 2159-2173 (1998)
	1997
5		Joel Ratsaby, Vitaly Maiorov: Generalization of the PAC-Model for Learning with Partial Information. EuroCOLT 1997: 51-65
4		Joel Ratsaby, Vitaly Maiorov: On the Value of Partial Information for Learning from Examples. J. Complexity 13(4): 509-543 (1997)
	1996
3		Joel Ratsaby, Ron Meir, Vitaly Maiorov: Towards Robust Model Selection Using Estimation and Approximation Error Bounds. COLT 1996: 57-67
2		Vitaly Maiorov: About Widths of Wiener Space in the Lq-Norm. J. Complexity 12(1): 47-57 (1996)
	1993
1		Vitaly Maiorov: Average n-Widths of the Wiener Space in the Linfinity-Norm. J. Complexity 9(2): 222-230 (1993)

Coauthor Index

1	Peter L. Bartlett	[6] [11]
2	Viktor N. Konovalov	[22] [23]
3	Dany Leviatan	[22] [23]
4	Ron Meir (Ronny Meir, R. S. Meir)	[3] [6] [7] [8] [10] [11] [14] [15] [16] [17]
5	Allan Pinkus	[12]
6	Joel Ratsaby	[3] [4] [5] [9] [13]
7	Assaf J. Zeevi	[8]

Colors in the list of coauthors

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