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Vera Kurková :
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Vera Kurková Universal Approximation Using Feedforward Neural Networks with Gaussian Bar Units. [Citation Graph (0, 0)][DBLP ] ECAI, 1992, pp:193-197 [Conf ] Vera Kurková , Marcello Sanguineti Tight Bounds on Rates of Neural-Network Approximation. [Citation Graph (0, 0)][DBLP ] ICANN, 2001, pp:277-284 [Conf ] Vera Kurková , Marcello Sanguineti Comparison of Rates of Linear and Neural Network Approximation. [Citation Graph (0, 0)][DBLP ] IJCNN (1), 2000, pp:277-282 [Conf ] Vera Kurková Approximation of Functions by Neural Networks. [Citation Graph (0, 0)][DBLP ] NC, 1998, pp:29-35 [Conf ] Vera Kurková Neural Network Learning as an Inverse Problem. [Citation Graph (0, 0)][DBLP ] Logic Journal of the IGPL, 2005, v:13, n:5, pp:551-559 [Journal ] Paul C. Kainen , Vera Kurková , Andrew Vogt Approximation by neural networks is not continuous. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 1999, v:29, n:1-3, pp:47-56 [Journal ] Paul C. Kainen , Vera Kurková , Andrew Vogt Best approximation by linear combinations of characteristic functions of half-spaces. [Citation Graph (0, 0)][DBLP ] Journal of Approximation Theory, 2003, v:122, n:2, pp:151-159 [Journal ] Vera Kurková , Marcello Sanguineti Learning with generalization capability by kernel methods of bounded complexity. [Citation Graph (0, 0)][DBLP ] J. Complexity, 2005, v:21, n:3, pp:350-367 [Journal ] Paul C. Kainen , Vera Kurková , Andrew Vogt Best approximation by Heaviside perceptron networks. [Citation Graph (0, 0)][DBLP ] Neural Networks, 2000, v:13, n:7, pp:695-697 [Journal ] Vera Kurková Kolmogorov's theorem and multilayer neural networks. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1992, v:5, n:3, pp:501-506 [Journal ] Vera Kurková , Paul C. Kainen , Vladik Kreinovich Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1997, v:10, n:6, pp:1061-1068 [Journal ] Vera Kurková , Petr Savický , Katerina Hlavácková-Schindler Representations and rates of approximation of real-valued Boolean functions by neural networks. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1998, v:11, n:4, pp:651-659 [Journal ] Vera Kurková , Marcello Sanguineti Bounds on rates of variable-basis and neural-network approximation. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Information Theory, 2001, v:47, n:6, pp:2659-2665 [Journal ] Vera Kurková , Marcello Sanguineti Comparison of worst case errors in linear and neural network approximation. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Information Theory, 2002, v:48, n:1, pp:264-275 [Journal ] Vera Kurková Estimates of Data Complexity in Neural-Network Learning. [Citation Graph (0, 0)][DBLP ] SOFSEM (1), 2007, pp:377-387 [Conf ] Paul C. Kainen , Vera Kurková , Marcello Sanguineti Estimates of Approximation Rates by Gaussian Radial-Basis Functions. [Citation Graph (0, 0)][DBLP ] ICANNGA (2), 2007, pp:11-18 [Conf ] Vera Kurková , Marcello Sanguineti Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. [Citation Graph (0, 0)][DBLP ] Discrete Applied Mathematics, 2007, v:155, n:15, pp:1930-1942 [Journal ] Estimates of Network Complexity and Integral Representations. [Citation Graph (, )][DBLP ] Model Complexity of Neural Networks and Integral Transforms. [Citation Graph (, )][DBLP ] Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. [Citation Graph (, )][DBLP ] Geometric Rates of Approximation by Neural Networks. [Citation Graph (, )][DBLP ] On Tractability of Neural-Network Approximation. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.004secs