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Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches

-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 169.3800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Serija: Springer Proceedings in Complexity
Leidėjas: Springer International Publishing
Išleidimo metai: 2020
Knygos puslapių skaičius: 256
ISBN-10: 3030146855
ISBN-13: 9783030146856
Formatas: 235 x 155 x 15 mm. Knyga minkštu viršeliu
Kalba: Anglų

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