Inductive Logic Programming : 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3¿5, 2019, Proceedings

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ISBN 10: 3030492095 / ISBN 13: 9783030492090

Edité par Springer International Publishing, 2020

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783030492090

Détails bibliographiques

• Titre: Inductive Logic Programming : 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3¿5, 2019, Proceedings
• Éditeur: Springer International Publishing
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 3030492095
• ISBN à 13 chiffres: 9783030492090
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.