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Giorgio Gnecco

Showing results (1-10 of 16) with videos related to

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Neural Computation|November 20, 2009
Regularization techniques and suboptimal solutions to optimization problems in learning from dataGiorgio Gnecco, Marcello Sanguineti
Scientific Reports|June 10, 2022
A machine learning approach to economic complexity based on matrix completionGiorgio Gnecco, Federico Nutarelli, Massimo Riccaboni
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
Computers in Biology and Medicine|November 23, 2024
Artificial intelligence for breast cancer detection and its health technology assessment: A scoping reviewAnisie Uwimana, Giorgio Gnecco, Massimo Riccaboni
Quality & Quantity|June 26, 2023
The emergence of social soft skill needs in the post COVID-19 eraGiorgio Gnecco, Sara Landi, Massimo Riccaboni
Neural Computation|November 8, 2014
Foundations of support constraint machinesGiorgio Gnecco, Marco Gori, Stefano Melacci, 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.
Neural Computation|June 1, 2017
LQG Online LearningGiorgio Gnecco, Alberto Bemporad, Marco Gori, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Neural Computation|November 20, 2009
Regularization techniques and suboptimal solutions to optimization problems in learning from dataGiorgio Gnecco, Marcello Sanguineti
Scientific Reports|June 10, 2022
A machine learning approach to economic complexity based on matrix completionGiorgio Gnecco, Federico Nutarelli, Massimo Riccaboni
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
Computers in Biology and Medicine|November 23, 2024
Artificial intelligence for breast cancer detection and its health technology assessment: A scoping reviewAnisie Uwimana, Giorgio Gnecco, Massimo Riccaboni
Quality & Quantity|June 26, 2023
The emergence of social soft skill needs in the post COVID-19 eraGiorgio Gnecco, Sara Landi, Massimo Riccaboni
Neural Computation|November 8, 2014
Foundations of support constraint machinesGiorgio Gnecco, Marco Gori, Stefano Melacci, 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.
Neural Computation|June 1, 2017
LQG Online LearningGiorgio Gnecco, Alberto Bemporad, Marco Gori, et al.
Pageof 2