Téléchargez le livre : Dynamics On and Of Complex Networks III

Dynamics On and Of Complex Networks III

Machine Learning and Statistical Physics Approaches de

Éditeur :

Springer


Collection :

Springer Proceedings in Complexity

Paru le : 2019-05-13

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Description

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.
Pages
244 pages
Collection
Springer Proceedings in Complexity
Parution
2019-05-13
Marque
Springer
EAN papier
9783030146825
EAN PDF
9783030146832
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
10271 Ko
Prix
94,94 €
EAN EPUB
9783030146832
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
22487 Ko
Prix
94,94 €

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