Inductive Logic Programming / Lecture Notes in Computer Science Bd.10759 (PDF)
The 12 full papers presented were carefully reviewed and...
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This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017.
The 12 full 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.
- 2018, 1st ed. 2018, 185 Seiten, Englisch
- Herausgegeben: Nicolas Lachiche, Christel Vrain
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319780905
- ISBN-13: 9783319780900
- Erscheinungsdatum: 19.03.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 14 MB
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