书目名称 | Inductive Logic Programming |
副标题 | 30th International C |
编辑 | Nikos Katzouris,Alexander Artikis |
视频video | |
丛书名称 | Lecture Notes in Computer Science |
图书封面 |  |
描述 | 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.. |
出版日期 | Conference proceedings 2022 |
关键词 | artificial intelligence; computer programming; computer science; computer systems; data mining; education |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-97454-1 |
isbn_softcover | 978-3-030-97453-4 |
isbn_ebook | 978-3-030-97454-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
issn_series | 0302-9743 |
copyright | Springer Nature Switzerland AG 2022 |