Machine Learning in Complex Networks
Christiano Silva, Thiago; Zhao, Liang
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Description for Machine Learning in Complex Networks
Hardback. Num Pages: 349 pages, 7 black & white illustrations, 80 colour illustrations, 9 black & white tables, biography. BIC Classification: UT; UYQM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 689.
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-supervised learning using a stochastic nonlinear dynamical system is described in details. Moreover, an analytical analysis is supplied, which enables one to predict the behavior of the proposed technique. In addition, data reliability issues ... Read more
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-supervised learning using a stochastic nonlinear dynamical system is described in details. Moreover, an analytical analysis is supplied, which enables one to predict the behavior of the proposed technique. In addition, data reliability issues ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
349
Condition
New
Number of Pages
331
Place of Publication
Cham, Switzerland
ISBN
9783319172897
SKU
V9783319172897
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Machine Learning in Complex Networks
“The book explores the combined area of complex network-based machine learning. It presents the theoretical concepts underlying the two complementary parts as well as those related to their interaction with respect to supervised, unsupervised and semi-supervised learning. The latest developments in the field, together with real-world test scenarios, are additionally treated in detail.” (Catalin Stoean, zbMATH 1357.68003, 2017)