株式会社極東書店トップ ＞ 商品一覧 ＞ Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches. 2019 ed.
商品詳細
Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches. 2019 ed.
・ISBN 978-3-030-14685-6 paper EUR 99.99
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お気に入り
★★★
| 著者・編者 | Ghanbarnejad, Fakhteh / Saha Roy, Rishiraj / Karimi, Fariba / Delvenne, Jean-Charles / Mitra, Bivas (eds.), |
|---|---|
| シリーズ | (Springer Proceedings in Complexity) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 244 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-94062＞ |
解説
This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes.
The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.