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.
Compre este e-book e ganhe mais 1 GRÁTIS!
Língua Inglês ● Formato EPUB ● ISBN 9783030974541 ● Editor Alexander Artikis & Nikos Katzouris ● Editora Springer International Publishing ● Publicado 2022 ● Carregável 3 vezes ● Moeda EUR ● ID 8326087 ● Proteção contra cópia Adobe DRM
Requer um leitor de ebook capaz de DRM