Inductive Logic Programming
30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings
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Beschreibung
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.
Autor*in
Nikos Katzouris
Themen in »Inductive Logic Programming«
artificial intelligence computer programming computer science computer systems data mining education formal languages formal logic inductive logic programming (ilp) knowledge representation knowledge-based system learning linguistics logic programming machine learning