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Titolo: | Inductive Logic Programming : 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings / / Elena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors |
Pubblicazione: | Cham, Switzerland : , : Springer, , [2023] |
©2023 | |
Edizione: | First edition. |
Descrizione fisica: | 1 online resource (XVIII, 175 p. 40 illus., 35 illus. in color.) |
Disciplina: | 005.115 |
Soggetto topico: | Logic programming |
Machine learning | |
Persona (resp. second.): | BellodiElena |
LisiFrancesca Alessandra | |
ZeseRiccardo | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Declarative Sequential Pattern Mining in ASP -- Extracting Rules from ML models in Angluin’s Style -- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs -- Regularization in Probabilistic Inductive Logic Programming -- Towards ILP-based LTLf passive learning -- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning -- Select first, transfer later: choosing proper datasets for statistical relational transfer learning -- GNN based Extraction of Minimal Unsatisfiable Subsets -- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to “What if?” Queries -- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming -- An Experimental Overview of Neural-Symbolic Systems -- Statistical relational structure learning with scaled weight parameters -- A Review of Inductive Logic Programming Applications for Robotic Systems -- Meta Interpretive Learning from Fractal images. |
Sommario/riassunto: | This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13–15, 2023. The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. |
Titolo autorizzato: | Inductive Logic Programming |
ISBN: | 3-031-49299-4 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910799494103321 |
Lo trovi qui: | Univ. Federico II |
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