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.
| ISBN: | 9783030974534 |
| Publication date: | 24th February 2022 |
| Author: | Nikos Katzouris |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 283 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Computer hardware Compilers and interpreters Mathematical theory of computation |