Inductive Logic Programming
Produktnummer:
1867f609513e5947e58af632b7c2b70714
| Themengebiete: | artificial intelligence computer programming computer science computer systems data mining education formal languages formal logic inductive logic programming (ilp) knowledge representation |
|---|---|
| Veröffentlichungsdatum: | 24.02.2022 |
| EAN: | 9783030974534 |
| Sprache: | Englisch |
| Seitenzahl: | 283 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Artikis, Alexander Katzouris, Nikos |
| Verlag: | Springer International Publishing |
| Untertitel: | 30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings |
Produktinformationen "Inductive Logic Programming"
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.
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