Machine learning in complex networks: modeling, analysis, and applications

Machine learning in complex networks: modeling, analysis, and applications

Machine learning is evidenced as a research area with the main purpose of developing computational methods that are capable of learning with their previously acquired experiences. Although a large amount of machine learning techniques has been proposed and successfully applied in real systems, t...

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Bibliographic Details
Main Author: Thiago Christiano Silva
Other Authors: Zhao Liang
Language:English
Published: Universidade de São Paulo 2012
Subjects:
Aprendizado competitivo
Aprendizado não supervisionado
Aprendizado semissupervisionado
Aprendizado supervisionado Agrupamento de dados
Caminhadas aleatórias
Classificação de dados
Classificação em alto nível
Competição de partículas
Redes complexas
Competitive learning
Complex networks
Data classification
Data clustering
High level classification
Particle competition
Random walks
Semisupervised learning
Supervised learning
Unsupervised learning
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19042013-104641/

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