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Inductive Logic Programming : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings / Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 13779.Publisher: Cham, Switzerland : Springer, [2024]Description: 1 online resource (x, 157 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031556302
  • 3031556305
Other title:
  • ILP 2022
Subject(s): DDC classification:
  • 005.1/15 23/eng/20240325
LOC classification:
  • QA76.63 .I538 2024
Online resources: Summary: 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. .
Holdings
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Includes author index.

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. .

Online resource; title from PDF title page (SpringerLink, viewed March 25, 2024).

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