Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms

1 code implementation • 4 Dec 2022 • Giampaolo Liuzzi, Laura Palagi, Ruggiero Seccia

We aim to define ease-controlled modifications of the IG/RR schemes, which require a light additional computational effort and can be proved to converge under very weak and standard assumptions.

Improving P300 Speller performance by means of optimization and machine learning

no code implementations • 13 Jul 2020 • Luigi Bianchi, Chiara Liti, Giampaolo Liuzzi, Veronica Piccialli, Cecilia Salvatore

First, we propose a new decision function that aims at improving classification performances in terms of accuracy and Information Transfer Rate both in a no stopping and early stopping environment.

BIG-bench Machine Learning EEG +2