Buch, Englisch, 157 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings
Buch, Englisch, 157 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-031-55629-6
Verlag: Springer Nature Switzerland
This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022.
The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions
The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Learning the Parameters of Probabilistic Answer Set Programs.- Navigable atom-rule interactions in PSL models enhanced by rule verbalizations, with an application to etymological inference.- A Program-Synthesis Challenge for ARC-like Tasks.- Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.- Learning Automata-Based Complex Event Patterns in Answer Set Programming.- Learning Hierarchical Problem Networks for Knowledge-Based Planning.- Combining word embeddings-based similarity measures for transfer learning across relational domains.- Learning Assumption-based Argumentation Frameworks.- Diagnosis of Event Sequences with LFIT.- Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment.- Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies.
