Marcello Sanguineti
Marcello Sanguineti
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Classifiers for the detection of flood-prone areas using remote sensed elevation data
M Degiorgis, G Gnecco, S Gorni, G Roth, M Sanguineti, AC Taramasso
Journal of hydrology 470, 302-315, 2012
Approximating networks and extended Ritz method for the solution of functional optimization problems
R Zoppoli, M Sanguineti, T Parisini
Journal of Optimization Theory and Applications 112, 403-440, 2002
Comparison of worst case errors in linear and neural network approximation
V Kurková, M Sanguineti
IEEE Transactions on Information Theory 48 (1), 264-275, 2002
Bounds on rates of variable-basis and neural-network approximation
V Kurková, M Sanguineti
IEEE Transactions on Information Theory 47 (6), 2659, 2001
Nonlinear stabilization by receding-horizon neural regulators
T Parisini, M Sanguineti, R Zoppoli
International Journal of Control 70 (3), 341-362, 1998
Error estimates for approximate optimization by the extended Ritz method
V Kurková, M Sanguineti
SIAM Journal on Optimization 15 (2), 461-487, 2005
Learning with generalization capability by kernel methods of bounded complexity
V Kůrková, M Sanguineti
Journal of Complexity 21 (3), 350-367, 2005
Neural approximations for optimal control and decision
R Zoppoli, M Sanguineti, G Gnecco, T Parisini
Springer International Publishing, 2020
Complexity of Gaussian-radial-basis networks approximating smooth functions
PC Kainen, V Kůrková, M Sanguineti
Journal of Complexity 25 (1), 63-74, 2009
Dependence of computational models on input dimension: Tractability of approximation and optimization tasks
PC Kainen, V Kurkova, M Sanguineti
IEEE Transactions on Information Theory 58 (2), 1203-1214, 2012
Approximation error bounds via Rademacher complexity
G Gnecco, M Sanguineti
Applied Mathematical Sciences 2, 153-176, 2008
Foundations of support constraint machines
G Gnecco, M Gori, S Melacci, M Sanguineti
Neural computation 27 (2), 388-480, 2015
Geometric upper bounds on rates of variable-basis approximation
V Kurková, M Sanguineti
IEEE Transactions on Information Theory 54 (12), 5681-5688, 2008
Regularization techniques and suboptimal solutions to optimization problems in learning from data
G Gnecco, M Sanguineti
Neural Computation 22 (3), 793-829, 2010
The weight-decay technique in learning from data: An optimization point of view
G Gnecco, M Sanguineti
Computational Management Science 6, 53-79, 2009
Design of asymptotic estimators: an approach based on neural networks and nonlinear programming
A Alessandri, C Cervellera, M Sanguineti
IEEE Transactions on Neural Networks 18 (1), 86-96, 2007
An approach to transportation network analysis via transferable utility games
Y Hadas, G Gnecco, M Sanguineti
Transportation Research Part B: Methodological 105, 120-143, 2017
Probabilistic lower bounds for approximation by shallow perceptron networks
V Kůrková, M Sanguineti
Neural Networks 91, 34-41, 2017
Dynamic programming and value-function approximation in sequential decision problems: Error analysis and numerical results
M Gaggero, G Gnecco, M Sanguineti
Journal of Optimization Theory and Applications 156, 380-416, 2013
A recursive algorithm for nonlinear least-squares problems
A Alessandri, M Cuneo, S Pagnan, M Sanguineti
Computational Optimization and Applications 38 (2), 195-216, 2007
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