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Inductive Logic Programming
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Inductive Logic Programming

29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings
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Description

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.
Release date NZ
June 3rd, 2020
Contributors
  • Edited by Can Erten
  • Edited by Dimitar Kazakov
Pages
145
Edition
1st ed. 2020
Audience
  • Professional & Vocational
Illustrations
19 Illustrations, color; 106 Illustrations, black and white; IX, 145 p. 125 illus., 19 illus. in color.
ISBN-13
9783030492090
Product ID
33426331

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