T�tulo: Inductive Logic Programming: 27th International Conference, ILP 2017, Orl�ans, France, September 4-6, 2017, Revised Selected Papers (Lecture Notes in Artificial Intelligence)
Editor: Springer
Fecha de publicaci�n: 2018
Idioma: Ingl�s
ISBN 10: 3319780891
ISBN 13: 9783319780894
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orl�ans, 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.

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