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商品詳細
Inductive Logic Programming: 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers. 2018 ed.
・ISBN 978-3-319-78089-4 paper EUR 49.99
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| 著者・編者 | Lachiche, Nicolas / Vrain, Christel (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 185 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-76562＞ |
解説
This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, 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.