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商品詳細
Belief Functions : Theory and Applications: 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, Proceedings. 1st ed. 2022.
・ISBN 978-3-031-17800-9 paper EUR 49.99
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| 著者・編者 | Le Hegarat-Mascle, Sylvie / Bloch, Isabelle / Aldea, Emanuel (eds.), |
|---|---|
| シリーズ | Lecture Notes in Computer Science |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 317 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-290> |
解説
The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well-understood connections to other frameworks such as probability, possibility, and imprecise probability theories. It has been applied in diverse areas such as machine learning, information fusion, and pattern recognition.
The 29 full papers presented in this book were carefully selected and reviewed from 31 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.