Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings: 13191 (Lecture Notes in Computer Science, 13191) - Softcover

 
9783030974534: Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings: 13191 (Lecture Notes in Computer Science, 13191)
Softcover
ISBN 10: 3030974537 ISBN 13: 9783030974534
Publisher: Springer, 2022

Synopsis

This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.

The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

"synopsis" may belong to another edition of this title.

Publisher
Springer
Publication date
2022
Language
English
ISBN 10 
3030974537
ISBN 13 
9783030974534
Binding
Paperback
Edition number
1
Number of pages
293
Editor
Katzouris Nikos, Artikis Alexander