Sfoglia per Rivista
Mostrati risultati da 1 a 12 di 12
ALLPAD: Approximate learning of logic programs with annotated disjunctions
file con accesso da definire2008 Riguzzi, Fabrizio
Applying the information bottleneck to statistical relational learning
file con accesso da definire2012 Riguzzi, Fabrizio; N., di Mauro
Bandit-based Monte-Carlo structure learning of probabilistic logic programs
2015 Di Mauro, Nicola; Bellodi, Elena; Riguzzi, Fabrizio
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2012)
file con accesso da definire2014 Riguzzi, Fabrizio; Železný, Filip
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2012)
2014 Riguzzi, Fabrizio; Železný, Filip
Learning answer set programs with aggregates via sampling and genetic programming
2025 Azzolini, D.
Learning hierarchical probabilistic logic programs
2021 Nguembang Fadja, A.; Riguzzi, F.; Lamma, E.
Lifted discriminative learning of probabilistic logic programs
2019 Nguembang Fadja, A.; Riguzzi, F.
Predicate Renaming via Large Language Models
file con accesso da definire2026 Gentili, E.; Ribeiro, T.; Riguzzi, F.; Inoue, K.
Probabilistic inductive constraint logic
2021 Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo; Alberti, Marco; Lamma, Evelina
Strategies in Combined Learning via Logic Programs
file con accesso da definire2000 Lamma, Evelina; Riguzzi, Fabrizio; Pereira, L. M.
Symbolic DNN-Tuner
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| ALLPAD: Approximate learning of logic programs with annotated disjunctions | 2008 | Riguzzi, Fabrizio | file con accesso da definire |
| Applying the information bottleneck to statistical relational learning | 2012 | Riguzzi, Fabrizio; N., di Mauro | file con accesso da definire |
| Bandit-based Monte-Carlo structure learning of probabilistic logic programs | 2015 | Di Mauro, Nicola; Bellodi, Elena; Riguzzi, Fabrizio | |
| Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2012) | 2014 | Riguzzi, Fabrizio; Železný, Filip | file con accesso da definire |
| Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2012) | 2014 | Riguzzi, Fabrizio; Železný, Filip | |
| Learning answer set programs with aggregates via sampling and genetic programming | 2025 | Azzolini, D. | |
| Learning hierarchical probabilistic logic programs | 2021 | Nguembang Fadja, A.; Riguzzi, F.; Lamma, E. | |
| Lifted discriminative learning of probabilistic logic programs | 2019 | Nguembang Fadja, A.; Riguzzi, F. | |
| Predicate Renaming via Large Language Models | 2026 | Gentili, E.; Ribeiro, T.; Riguzzi, F.; Inoue, K. | file con accesso da definire |
| Probabilistic inductive constraint logic | 2021 | Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo; Alberti, Marco; Lamma, Evelina | |
| Strategies in Combined Learning via Logic Programs | 2000 | Lamma, Evelina; Riguzzi, Fabrizio; Pereira, L. M. | file con accesso da definire |
| Symbolic DNN-Tuner | 2022 | Fraccaroli, M.; Lamma, E.; Riguzzi, F. |
Mostrati risultati da 1 a 12 di 12
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