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Alessandro Ghio

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Neural Networks : the Official Journal of the International Neural Network Society|April 17, 2013
An improved analysis of the Rademacher data-dependent bound using its self bounding propertyLuca Oneto, Alessandro Ghio, Davide Anguita, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
A deep connection between the Vapnik-Chervonenkis entropy and the Rademacher complexityDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
IEEE Transactions on Cybernetics|October 28, 2014
Fully Empirical and Data-Dependent Stability-Based BoundsLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
In-sample and out-of-sample model selection and error estimation for support vector machinesDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 4, 2015
Local Rademacher Complexity: sharper risk bounds with and without unlabeled samplesLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|April 17, 2013
An improved analysis of the Rademacher data-dependent bound using its self bounding propertyLuca Oneto, Alessandro Ghio, Davide Anguita, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
A deep connection between the Vapnik-Chervonenkis entropy and the Rademacher complexityDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
IEEE Transactions on Cybernetics|October 28, 2014
Fully Empirical and Data-Dependent Stability-Based BoundsLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
In-sample and out-of-sample model selection and error estimation for support vector machinesDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 4, 2015
Local Rademacher Complexity: sharper risk bounds with and without unlabeled samplesLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Pageof 1