书目名称 | Inductive Logic Programming | 副标题 | 27th International C | 编辑 | Nicolas Lachiche,Christel Vrain | 视频video | | 丛书名称 | Lecture Notes in Computer Science | 图书封面 |  | 描述 | .This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017.. The 12 full papers presented were carefully reviewed and selected from numerous 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 2018 | 关键词 | artificial intelligence; computer programming; data mining; image processing; inductive logic programmin | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-78090-0 | isbn_softcover | 978-3-319-78089-4 | isbn_ebook | 978-3-319-78090-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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