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商品詳細
Inductive Logic Programming: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings. 2020 ed.
・ISBN 978-3-030-49209-0 paper EUR 49.99
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| 著者・編者 | Kazakov, Dimitar / Erten, Can (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 145 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-77189＞ |
解説
This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.
The 11 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.