Vera Kurková

Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Accuracy of approximations of solutions to Fredholm equations by kernel methods. Applied Mathematics and Computation 218(14): 7481-7497 (2012)

Vera Kurková: Guest editorial: Adaptive and natural computing algorithms. Neurocomputing 96: 1 (2012)

Vera Kurková: Complexity estimates based on integral transforms induced by computational units. Neural Networks 33: 160-167 (2012)

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks. IEEE Transactions on Information Theory 58(2): 1203-1214 (2012)

Vera Kurková: Some Comparisons of Networks with Radial and Kernel Units. ICANN (2) 2012: 17-24

Vera Kurková: Surrogate Modelling of Solutions of Integral Equations by Neural Networks. AIAI (1) 2012: 88-96

Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks 24(2): 171-182 (2011)

Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Can dictionary-based computational models outperform the best linear ones? Neural Networks 24(8): 881-887 (2011)

Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. ICANN (1) 2011: 126-133

Vera Kurková, Paul C. Kainen: Kernel Networks with Fixed and Variable Widths. ICANNGA (1) 2011: 12-21

Vera Kurková, Roman Neruda, Jan Koutník: Editorial. Neural Networks 23(4): 465 (2010)

Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. ICANN (3) 2010: 358-367

Vera Kurková: Inverse Problems in Learning from Data. IJCCI (ICFC-ICNC) 2010: 316-321

Vera Kurková: Learning from Data as an Optimization and Inverse Problem. IJCCI (Selected Papers) 2010: 361-372

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Complexity of Gaussian-radial-basis networks approximating smooth functions. J. Complexity 25(1): 63-74 (2009)

Paul C. Kainen, Vera Kurková: An Integral Upper Bound for Neural Network Approximation. Neural Computation 21(10): 2970-2989 (2009)

Vera Kurková: Model Complexity of Neural Networks and Integral Transforms. ICANN (1) 2009: 708-717

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: On Tractability of Neural-Network Approximation. ICANNGA 2009: 11-21

Vera Kurková: Estimates of Model Complexity in Neural-Network Learning. Innovations in Neural Information Paradigms and Applications 2009: 97-111

Vera Kurková, Marcello Sanguineti: Approximate Minimization of the Regularized Expected Error over Kernel Models. Math. Oper. Res. 33(3): 747-756 (2008)

Vera Kurková: Minimization of Error Functionals over Perceptron Networks. Neural Computation 20(1): 252-270 (2008)

Vera Kurková, Marcello Sanguineti: Geometric Upper Bounds on Rates of Variable-Basis Approximation. IEEE Transactions on Information Theory 54(12): 5681-5688 (2008)

Paul C. Kainen, Vera Kurková: Estimates of Network Complexity and Integral Representations. ICANN (1) 2008: 31-40

Vera Kurková, Marcello Sanguineti: Geometric Rates of Approximation by Neural Networks. SOFSEM 2008: 541-550

Vera Kurková, Roman Neruda, Jan Koutník (Eds.): Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5163, Springer 2008, isbn 978-3-540-87535-2

Vera Kurková, Roman Neruda, Jan Koutník (Eds.): Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5164, Springer 2008, isbn 978-3-540-87558-1

Vera Kurková, Marcello Sanguineti: Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. Discrete Applied Mathematics 155(15): 1930-1942 (2007)

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)

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Estimates of Approximation Rates by Gaussian Radial-Basis Functions. ICANNGA (2) 2007: 11-18

Vera Kurková: Estimates of Data Complexity in Neural-Network Learning. SOFSEM (1) 2007: 377-387

Vera Kurková: Generalization in Learning from Examples. Challenges for Computational Intelligence 2007: 343-363

Vera Kurková: Neural Network Learning as an Inverse Problem. Logic Journal of the IGPL 13(5): 551-559 (2005)

Vera Kurková, Marcello Sanguineti: Learning with generalization capability by kernel methods of bounded complexity. J. Complexity 21(3): 350-367 (2005)

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions. J. Math. Model. Algorithms 4(4): 355-368 (2005)

Vera Kurková, Marcello Sanguineti: Error Estimates for Approximate Optimization by the Extended Ritz Method. SIAM Journal on Optimization 15(2): 461-487 (2005)

Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Minimization of Error Functionals over Variable-Basis Functions. SIAM Journal on Optimization 14(3): 732-742 (2004)

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)

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)

Paul C. Kainen, Vera Kurková, Andrew Vogt: Continuity of Approximation by Neural Networks in Lp Spaces. Annals OR 101(1-4): 143-147 (2001)

Vera Kurková, Marcello Sanguineti: Bounds on rates of variable-basis and neural-network approximation. IEEE Transactions on Information Theory 47(6): 2659-2665 (2001)

Vera Kurková, Marcello Sanguineti: Tight Bounds on Rates of Neural-Network Approximation. ICANN 2001: 277-284

Paul C. Kainen, Vera Kurková, Andrew Vogt: Best approximation by Heaviside perceptron networks. Neural Networks 13(7): 695-697 (2000)

Vera Kurková, Marcello Sanguineti: Comparison of Rates of Linear and Neural Network Approximation. IJCNN (1) 2000: 277-282

Paul C. Kainen, Vera Kurková, Andrew Vogt: Approximation by neural networks is not continuous. Neurocomputing 29(1-3): 47-56 (1999)

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)

Vera Kurková: Approximation of Functions by Neural Networks. NC 1998: 29-35

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)

Katerina Hlavácková-Schindler, Vera Kurková: Rates of approximation of real-valued boolean functions by neural networks. ESANN 1996

Vera Kurková: Approximation of functions by Gaussian RBF networks with bouded number of hidden units. ESANN 1995

Vera Kurková, Paul C. Kainen: Functionally Equivalent Feedforward Neural Networks. Neural Computation 6(3): 543-558 (1994)

Paul C. Kainen, Vera Kurková, Vladik Kreinovich, Ongard Sirisaengtaksin: Uniqueness of network parametrization and faster learning. Neural Parallel & Scientific Comp. 2(4): 459-466 (1994)

Vera Kurková, Katerina Hlavácková-Schindler: Approximation of continuous functions by RBF and KBF networks. ESANN 1994

Vera Kurková: Kolmogorov's theorem and multilayer neural networks. Neural Networks 5(3): 501-506 (1992)

Vera Kurková: Universal Approximation Using Feedforward Neural Networks with Gaussian Bar Units. ECAI 1992: 193-197