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Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September 2830, 2022, Proceedings 2024 ed. [Minkštas viršelis]

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  • Formatas: Paperback / softback, 157 pages, aukštis x plotis: 235x155 mm, 20 Illustrations, color; 15 Illustrations, black and white; X, 157 p. 35 illus., 20 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13779
  • Išleidimo metai: 20-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031556291
  • ISBN-13: 9783031556296
Kitos knygos pagal šią temą:
Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September 2830, 2022, Proceedings 2024 ed.Didesnis paveikslėlis
  • Formatas: Paperback / softback, 157 pages, aukštis x plotis: 235x155 mm, 20 Illustrations, color; 15 Illustrations, black and white; X, 157 p. 35 illus., 20 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13779
  • Išleidimo metai: 20-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031556291
  • ISBN-13: 9783031556296
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031556296.html
Raktažodžiai:
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.





 
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.