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Inductive Logic Programming 30th International Conference ILP 2021 Virtual Event October 25 27 2021 Proceedings LNAI 13191(1st Edition)

Authors:

Nikos Katzouris ,Alexander Artikis

inductive logic programming 30th international conference ilp 2021 virtual event october 25 27 2021

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Book details

ISBN: 3030974537, 978-3030974534

Book publisher: Springer

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Inductive Logic Programming 30th International Conference ILP 2021 Virtual Event October 25 27 2021 Proceedings LNAI 13191 1st Edition Summary: This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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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