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商品詳細
Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings. 1st ed. 2022
・ISBN 978-3-030-97453-4 paper EUR 64.99
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| 著者・編者 | Katzouris, Nikos / Artikis, Alexander (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 283 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-85017＞ |
解説
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.