Sfoglia per Relatore
Study and implementation of quantum-inspired boosting algorithms for AI powered Financial Asset Management.
2022/2023 LAMBERTINI, ALESSANDRO
Study of performances for Restricted Boltzmann Machines
2021/2022 Bortoletto, Matteo
Study of performances for Restricted Boltzmann Machines
2020/2021 BORTOLETTO, MATTEO
Temperature response of heat conducting models
2016/2017 D'Ambrosio, Federico
The Hopfield model: study of the basins of attractions and the matrix factorization problem
2021/2022 MANCINI, LORENZO
Thermodynamic uncertainty relation
2018/2019 Di Terlizzi, Ivan
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Study and implementation of quantum-inspired boosting algorithms for AI powered Financial Asset Management. | Study and implementation of quantum-inspired boosting algorithms for AI powered Financial Asset Management. | LAMBERTINI, ALESSANDRO | |
| Lauree magistrali | 2021 | Study of performances for Restricted Boltzmann Machines | - | Bortoletto, Matteo | |
| Lauree magistrali | 2020 | Study of performances for Restricted Boltzmann Machines | Study of performances for Restricted Boltzmann Machines | BORTOLETTO, MATTEO | |
| Lauree magistrali | 2016 | Temperature response of heat conducting models | - | D'Ambrosio, Federico | |
| Lauree magistrali | 2021 | The Hopfield model: study of the basins of attractions and the matrix factorization problem | The Hopfield model: study of the basins of attractions and the matrix factorization problem | MANCINI, LORENZO | |
| Lauree magistrali | 2018 | Thermodynamic uncertainty relation | - | Di Terlizzi, Ivan |
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