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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Dynamics On and Of Complex Networks III - Machine Learning and Statistical Physics Approaches (Hardcover, 1st ed. 2019)
Loot Price: R3,041
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Dynamics On and Of Complex Networks III - Machine Learning and Statistical Physics Approaches (Hardcover, 1st ed. 2019)
Series: Springer Proceedings in Complexity
Expected to ship within 10 - 15 working days
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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.
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