Inductive Logic Programming

£44.99

Inductive Logic Programming

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

Network hardware Compilers and interpreters Applied computing Mathematical theory of computation Artificial intelligence

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 5th June 2020

Format: LCP-protected ePub

Size: 9 Mb

ISBN: 9783030492106


Conference Proceedings

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.

Content and Significance

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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