株式会社極東書店トップ ＞ 商品一覧 ＞ Advances in Soft Computing: 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancun, Mexico, October 23-28, 2016, Proceedings, Part II. 1st ed. 2017
商品詳細
Advances in Soft Computing: 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancun, Mexico, October 23-28, 2016, Proceedings, Part II. 1st ed. 2017
・ISBN 978-3-319-62427-3 paper EUR 49.99
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| 著者・編者 | Pichardo-Lagunas, Obdulia / Miranda-Jimenez, Sabino (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2017 |
| ページ数 | 552 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-76447＞ |
解説
The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancun, Mexico, in October 2016.
The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:
Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics.
Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.
The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:
Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics.
Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.