Inductive Logic Programming
Produktnummer:
18d7c7b620891745fcbdb4747692e1bb82
| Themengebiete: | artificial intelligence computer programming computer systems data mining formal logic inductive logic programming (ilp) knowledge-based system knowledge representation learning logic programming |
|---|---|
| Veröffentlichungsdatum: | 03.06.2020 |
| EAN: | 9783030492090 |
| Sprache: | Englisch |
| Seitenzahl: | 145 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Erten, Can Kazakov, Dimitar |
| Verlag: | Springer International Publishing |
| Untertitel: | 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings |
Produktinformationen "Inductive Logic Programming"
This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.The 11 papers presented were carefully reviewed and selected from numerous 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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