| * | 2009 |
|---|
| 30 | EE | Vera Kurková:
Model Complexity of Neural Networks and Integral Transforms.
ICANN (1) 2009: 708-717 |
| 29 | EE | Paul C. Kainen,
Vera Kurková,
Marcello Sanguineti:
Complexity of Gaussian-radial-basis networks approximating smooth functions.
J. Complexity 25(1): 63-74 (2009) |
| 2008 |
|---|
| 28 | | Vera Kurková,
Roman Neruda,
Jan Koutník:
Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Springer 2008 |
| 27 | | Vera Kurková,
Roman Neruda,
Jan Koutník:
Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II
Springer 2008 |
| 26 | EE | Paul C. Kainen,
Vera Kurková:
Estimates of Network Complexity and Integral Representations.
ICANN (1) 2008: 31-40 |
| 25 | EE | Vera Kurková,
Marcello Sanguineti:
Geometric Rates of Approximation by Neural Networks.
SOFSEM 2008: 541-550 |
| 24 | EE | Vera Kurková,
Marcello Sanguineti:
Geometric Upper Bounds on Rates of Variable-Basis Approximation.
IEEE Transactions on Information Theory 54(12): 5681-5688 (2008) |
| 23 | EE | Vera Kurková,
Marcello Sanguineti:
Approximate Minimization of the Regularized Expected Error over Kernel Models.
Math. Oper. Res. 33(3): 747-756 (2008) |
| 22 | EE | Vera Kurková:
Minimization of Error Functionals over Perceptron Networks.
Neural Computation 20(1): 252-270 (2008) |
| 2007 |
|---|
| 21 | EE | Paul C. Kainen,
Vera Kurková,
Marcello Sanguineti:
Estimates of Approximation Rates by Gaussian Radial-Basis Functions.
ICANNGA (2) 2007: 11-18 |
| 20 | EE | Vera Kurková:
Estimates of Data Complexity in Neural-Network Learning.
SOFSEM (1) 2007: 377-387 |
| 19 | EE | Vera Kurková:
Generalization in Learning from Examples.
Challenges for Computational Intelligence 2007: 343-363 |
| 18 | EE | Vera Kurková,
Marcello Sanguineti:
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets.
Discrete Applied Mathematics 155(15): 1930-1942 (2007) |
| 17 | EE | Paul C. Kainen,
Vera Kurková,
Andrew Vogt:
A Sobolev-type upper bound for rates of approximation by linear combinations of Heaviside plane waves.
Journal of Approximation Theory 147(1): 1-10 (2007) |
| 2005 |
|---|
| 16 | EE | Vera Kurková,
Marcello Sanguineti:
Learning with generalization capability by kernel methods of bounded complexity.
J. Complexity 21(3): 350-367 (2005) |
| 15 | EE | Vera Kurková:
Neural Network Learning as an Inverse Problem.
Logic Journal of the IGPL 13(5): 551-559 (2005) |
| 2003 |
|---|
| 14 | EE | Paul C. Kainen,
Vera Kurková,
Andrew Vogt:
Best approximation by linear combinations of characteristic functions of half-spaces.
Journal of Approximation Theory 122(2): 151-159 (2003) |
| 2002 |
|---|
| 13 | | Vera Kurková,
Marcello Sanguineti:
Comparison of worst case errors in linear and neural network approximation.
IEEE Transactions on Information Theory 48(1): 264-275 (2002) |
| 2001 |
|---|
| 12 | EE | Vera Kurková,
Marcello Sanguineti:
Tight Bounds on Rates of Neural-Network Approximation.
ICANN 2001: 277-284 |
| 11 | EE | Paul C. Kainen,
Vera Kurková,
Andrew Vogt:
Continuity of Approximation by Neural Networks in Lp Spaces.
Annals OR 101(1-4): 143-147 (2001) |
| 10 | | Vera Kurková,
Marcello Sanguineti:
Bounds on rates of variable-basis and neural-network approximation.
IEEE Transactions on Information Theory 47(6): 2659-2665 (2001) |
| 2000 |
|---|
| 9 | EE | Vera Kurková,
Marcello Sanguineti:
Comparison of Rates of Linear and Neural Network Approximation.
IJCNN (1) 2000: 277-282 |
| 8 | EE | Paul C. Kainen,
Vera Kurková,
Andrew Vogt:
Best approximation by Heaviside perceptron networks.
Neural Networks 13(7): 695-697 (2000) |
| 1999 |
|---|
| 7 | EE | Paul C. Kainen,
Vera Kurková,
Andrew Vogt:
Approximation by neural networks is not continuous.
Neurocomputing 29(1-3): 47-56 (1999) |
| 1998 |
|---|
| 6 | | Vera Kurková:
Approximation of Functions by Neural Networks.
NC 1998: 29-35 |
| 5 | EE | Vera Kurková,
Petr Savický,
Katerina Hlavácková-Schindler:
Representations and rates of approximation of real-valued Boolean functions by neural networks.
Neural Networks 11(4): 651-659 (1998) |
| 1997 |
|---|
| 4 | EE | Vera Kurková,
Paul C. Kainen,
Vladik Kreinovich:
Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces.
Neural Networks 10(6): 1061-1068 (1997) |
| 1994 |
|---|
| 3 | EE | Vera Kurková,
Paul C. Kainen:
Functionally Equivalent Feedforward Neural Networks.
Neural Computation 6(3): 543-558 (1994) |
| 1992 |
|---|
| 2 | | Vera Kurková:
Universal Approximation Using Feedforward Neural Networks with Gaussian Bar Units.
ECAI 1992: 193-197 |
| 1 | EE | Vera Kurková:
Kolmogorov's theorem and multilayer neural networks.
Neural Networks 5(3): 501-506 (1992) |
