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Inductive Logic Programming: 32nd International Conference, ILP 2023, Bari, Italy, November 1315, 2023, Proceedings 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 175 pages, kõrgus x laius: 235x155 mm, kaal: 308 g, 35 Illustrations, color; 5 Illustrations, black and white; XVIII, 175 p. 40 illus., 35 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 14363
  • Ilmumisaeg: 22-Dec-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031492986
  • ISBN-13: 9783031492983
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Inductive Logic Programming: 32nd International Conference, ILP 2023, Bari, Italy, November 1315, 2023, Proceedings 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 175 pages, kõrgus x laius: 235x155 mm, kaal: 308 g, 35 Illustrations, color; 5 Illustrations, black and white; XVIII, 175 p. 40 illus., 35 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 14363
  • Ilmumisaeg: 22-Dec-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031492986
  • ISBN-13: 9783031492983
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031492983.html

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.

Declarative Sequential Pattern Mining in ASP.- Extracting Rules from ML
models in Angluins 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.