- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j32 |      | Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti: Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. J. Optimization Theory and Applications 156(2): 380-416 (2013) |
| j31 | | Giorgio Gnecco, Marco Gori, Marcello Sanguineti: Learning with Boundary Conditions. Neural Computation 25(4): 1029-1106 (2013) |
| 2012 | ||
| j30 | | 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) |
| j29 | | Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti: A Model of Buffer Occupancy for ICNs. IEEE Communications Letters 16(6): 862-865 (2012) |
| j28 | | Giorgio Gnecco, Marcello Sanguineti: New insights into Witsenhausen's counterexample. Optimization Letters 6(7): 1425-1446 (2012) |
| j27 | | Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero: Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. SIAM Journal on Optimization 22(1): 212-243 (2012) |
| j26 | | 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) |
| c14 | | Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli: Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC 2012: 1902-1908 |
| 2011 | ||
| j25 | | Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti: CAC with Nonlinearly-Constrained Feasibility Regions. IEEE Communications Letters 15(4): 467-469 (2011) |
| j24 | | Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks 24(2): 171-182 (2011) |
| j23 | | Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Can dictionary-based computational models outperform the best linear ones? Neural Networks 24(8): 881-887 (2011) |
| j22 | | Giorgio Gnecco, Marcello Sanguineti: Team optimization problems with Lipschitz continuous strategies. Optimization Letters 5(2): 333-346 (2011) |
| j21 | | Giorgio Gnecco, Marcello Sanguineti: On a Variational Norm Tailored to Variable-Basis Approximation Schemes. IEEE Transactions on Information Theory 57(1): 549-558 (2011) |
| c13 | | Marco Cello, Giorgio Gnecco, Mario Marchese, Marcello Sanguineti: A Generalized Stochastic Knapsack Problem with Application in Call Admission Control. CTW 2011: 105-108 |
| c12 | | Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. ICANN (1) 2011: 126-133 |
| c11 | | Mario Marchese, Marco Cello, Giorgio Gnecco, Marcello Sanguineti: Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions. INFOCOM 2011: 466-470 |
| 2010 | ||
| j20 | | Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli: Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. Comp. Opt. and Appl. 47(2): 349-376 (2010) |
| j19 | | |
| j18 | | Giorgio Gnecco, Marcello Sanguineti: On spectral windows in supervised learning from data. Inf. Process. Lett. 110(23): 1031-1036 (2010) |
| j17 | | Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti: Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optimization Theory and Applications 147(2): 243-262 (2010) |
| j16 | | Giorgio Gnecco, Marcello Sanguineti: Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data. Neural Computation 22(3): 793-829 (2010) |
| j15 | | Giorgio Gnecco, Marcello Sanguineti: Error bounds for suboptimal solutions to kernel principal component analysis. Optimization Letters 4(2): 197-210 (2010) |
| c10 | | Giorgio Gnecco, Vera Kurková, Marcello Sanguineti: Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. ICANN (3) 2010: 358-367 |
| c9 | | Giorgio Gnecco, Marcello Sanguineti: Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. SOFSEM 2010: 440-451 |
| 2009 | ||
| j14 | | Giorgio Gnecco, Marcello Sanguineti: Accuracy of suboptimal solutions to kernel principal component analysis. Comp. Opt. and Appl. 42(2): 265-287 (2009) |
| j13 | | Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Complexity of Gaussian-radial-basis networks approximating smooth functions. J. Complexity 25(1): 63-74 (2009) |
| c8 | | Paul C. Kainen, Vera Kurková, Marcello Sanguineti: On Tractability of Neural-Network Approximation. ICANNGA 2009: 11-21 |
| p1 | | Giorgio Gnecco, Marcello Sanguineti: Regularization and Suboptimal Solutions in Learning from Data. Innovations in Neural Information Paradigms and Applications 2009: 113-154 |
| 2008 | ||
| j12 | | Vera Kurková, Marcello Sanguineti: Approximate Minimization of the Regularized Expected Error over Kernel Models. Math. Oper. Res. 33(3): 747-756 (2008) |
| j11 | | Vera Kurková, Marcello Sanguineti: Geometric Upper Bounds on Rates of Variable-Basis Approximation. IEEE Transactions on Information Theory 54(12): 5681-5688 (2008) |
| c7 | | Vera Kurková, Marcello Sanguineti: Geometric Rates of Approximation by Neural Networks. SOFSEM 2008: 541-550 |
| 2007 | ||
| j10 | | Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti: A recursive algorithm for nonlinear least-squares problems. Comp. Opt. and Appl. 38(2): 195-216 (2007) |
| j9 | | Vera Kurková, Marcello Sanguineti: Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. Discrete Applied Mathematics 155(15): 1930-1942 (2007) |
| j8 | | Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti: Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Transactions on Neural Networks 18(1): 86-96 (2007) |
| c6 | | Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Estimates of Approximation Rates by Gaussian Radial-Basis Functions. ICANNGA (2) 2007: 11-18 |
| 2005 | ||
| j7 | | Vera Kurková, Marcello Sanguineti: Learning with generalization capability by kernel methods of bounded complexity. J. Complexity 21(3): 350-367 (2005) |
| j6 | | 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) |
| j5 | | Vera Kurková, Marcello Sanguineti: Error Estimates for Approximate Optimization by the Extended Ritz Method. SIAM Journal on Optimization 15(2): 461-487 (2005) |
| 2004 | ||
| j4 | | Paul C. Kainen, Vera Kurková, Marcello Sanguineti: Minimization of Error Functionals over Variable-Basis Functions. SIAM Journal on Optimization 14(3): 732-742 (2004) |
| 2002 | ||
| j3 | | 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) |
| j2 | | Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore: Optimization-based learning with bounded error for feedforward neural networks. IEEE Transactions on Neural Networks 13(2): 261-273 (2002) |
| 2001 | ||
| j1 | | Vera Kurková, Marcello Sanguineti: Bounds on rates of variable-basis and neural-network approximation. IEEE Transactions on Information Theory 47(6): 2659-2665 (2001) |
| c5 | | Vera Kurková, Marcello Sanguineti: Tight Bounds on Rates of Neural-Network Approximation. ICANN 2001: 277-284 |
| 2000 | ||
| c4 | | Vera Kurková, Marcello Sanguineti: Comparison of Rates of Linear and Neural Network Approximation. IJCNN (1) 2000: 277-282 |
| c3 | | Saverio Giulini, Marcello Sanguineti: On Dimension-Independent Approximation by Neural Networks and Linear Approximators. IJCNN (1) 2000: 283-288 |
| 1998 | ||
| c2 | | Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti: Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. ESANN 1998: 285-290 |
| c1 |  | Katerina Hlavácková-Schindler, Marcello Sanguineti: Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset. NC 1998: 896-899 |
Data released under the ODC-BY 1.0 license — See also our legal information page