Machine Learning in Complex Networks

AvThiago Christiano Silva,Liang Zhao

Häftad, Engelska, 2018

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Beskrivning

This book presents the features and advantages offered by complex networks in the machine learning domain. The low level term can be implemented by any classification technique, while the high level term is realized by the extraction of features of the underlying network constructed from the input data.

Produktinformation

Utgivningsdatum:2018-03-30
Mått:155 x 235 x 20 mm
Vikt:534 g
Format:Häftad
Språk:Engelska
Antal sidor:331
Förlag:Springer International Publishing AG
ISBN:9783319792347

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Recensioner i media

“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)

Innehållsförteckning

Introduction.- Complex Networks.- Machine Learning.- Network Construction Techniques.- Network-Based Supervised Learning.- Network-Based Unsupervised Learning.- Network-Based Semi-Supervised Learning.- Case Study of Network-Based Supervised Learning: High-Level Data Classification.- Case Study of Network-Based Unsupervised Learning: Stochastic Competitive Learning in Networks.- Case Study of Network-Based Semi-Supervised Learning: Stochastic Competitive-Cooperative Learning in Networks.