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Marcello Sanguineti

Showing results (1-10 of 11) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|May 9, 2017
Probabilistic lower bounds for approximation by shallow perceptron networksVěra Kůrková, Marcello Sanguineti
Neural Computation|November 20, 2009
Regularization techniques and suboptimal solutions to optimization problems in learning from dataGiorgio Gnecco, Marcello Sanguineti
IEEE Transactions on Neural Networks and Learning Systems|January 15, 2019
Classification by Sparse Neural NetworksVera Kurkova, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2023
Approximation of classifiers by deep perceptron networksVěra Kůrková, Marcello Sanguineti
IEEE Transactions on Neural Networks|February 7, 2007
Design of asymptotic estimators: an approach based on neural networks and nonlinear programmingAngelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|June 28, 2011
Can dictionary-based computational models outperform the best linear ones?Giorgio Gnecco, Věra Kůrková, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|November 25, 2010
Some comparisons of complexity in dictionary-based and linear computational modelsGiorgio Gnecco, Věra Kůrková, Marcello Sanguineti
Neural Computation|January 24, 2013
Learning with boundary conditionsGiorgio Gnecco, Marco Gori, Marcello Sanguineti
Neural Computation|June 1, 2017
LQG Online LearningGiorgio Gnecco, Alberto Bemporad, Marco Gori, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 13, 2014
Learning With Mixed Hard/Soft Pointwise ConstraintsGiorgio Gnecco, Marco Gori, Stefano Melacci, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|May 9, 2017
Probabilistic lower bounds for approximation by shallow perceptron networksVěra Kůrková, Marcello Sanguineti
Neural Computation|November 20, 2009
Regularization techniques and suboptimal solutions to optimization problems in learning from dataGiorgio Gnecco, Marcello Sanguineti
IEEE Transactions on Neural Networks and Learning Systems|January 15, 2019
Classification by Sparse Neural NetworksVera Kurkova, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2023
Approximation of classifiers by deep perceptron networksVěra Kůrková, Marcello Sanguineti
IEEE Transactions on Neural Networks|February 7, 2007
Design of asymptotic estimators: an approach based on neural networks and nonlinear programmingAngelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|June 28, 2011
Can dictionary-based computational models outperform the best linear ones?Giorgio Gnecco, Věra Kůrková, Marcello Sanguineti
Neural Networks : the Official Journal of the International Neural Network Society|November 25, 2010
Some comparisons of complexity in dictionary-based and linear computational modelsGiorgio Gnecco, Věra Kůrková, Marcello Sanguineti
Neural Computation|January 24, 2013
Learning with boundary conditionsGiorgio Gnecco, Marco Gori, Marcello Sanguineti
Neural Computation|June 1, 2017
LQG Online LearningGiorgio Gnecco, Alberto Bemporad, Marco Gori, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 13, 2014
Learning With Mixed Hard/Soft Pointwise ConstraintsGiorgio Gnecco, Marco Gori, Stefano Melacci, et al.
Pageof 2