Alexander Artikis & Nikos Katzouris 
Inductive Logic Programming [EPUB ebook] 
30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings

Soporte

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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Idioma Inglés ● Formato EPUB ● ISBN 9783030974541 ● Editor Alexander Artikis & Nikos Katzouris ● Editorial Springer International Publishing ● Publicado 2022 ● Descargable 3 veces ● Divisa EUR ● ID 8326087 ● Protección de copia Adobe DRM
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