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Marcello Sanguineti: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti
    Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:285-290 [Conf]
  2. Vera Kurková, Marcello Sanguineti
    Tight Bounds on Rates of Neural-Network Approximation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:277-284 [Conf]
  3. Saverio Giulini, Marcello Sanguineti
    On Dimension-Independent Approximation by Neural Networks and Linear Approximators. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:283-288 [Conf]
  4. 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]
  5. Katerina Hlavácková-Schindler, Marcello Sanguineti
    Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:896-899 [Conf]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]

  11. Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. [Citation Graph (, )][DBLP]

  12. Geometric Rates of Approximation by Neural Networks. [Citation Graph (, )][DBLP]

  13. Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. [Citation Graph (, )][DBLP]

  14. On Tractability of Neural-Network Approximation. [Citation Graph (, )][DBLP]

  15. Guest editorial. [Citation Graph (, )][DBLP]

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