Machine learning via dynamical processes on complex networks

Machine learning via dynamical processes on complex networks

Extracting useful knowledge from data sets is a key concept in modern information systems. Consequently, the need of efficient techniques to extract the desired knowledge has been growing over time. Machine learning is a research field dedicated to the development of techniques capable of enabli...

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Bibliographic Details
Main Author: Thiago Henrique Cupertino
Other Authors: Zhao Liang
Language:English
Published: Universidade de São Paulo 2013
Subjects:
Aprendizado baseado em redes
Aprendizado de máquina
Aprendizado não supervisionado
Aprendizado semissupervisionado
Aprendizado supervisionado
Caminhada aleatória
Controle pontual
Estado estacionário
Forças de interação
Probabilidades limite
Processos dinâmicos
Redes complexas
Redução de dimensionalidade
Tempo de consenso
Complex networks
Consensus time
Dimensionality reduction
Dynamical processes
Interacting forces
Limiting probabilities
Machine learning
Network-based learning
Plinning control
Random walk
Semi-supervised learning
Stationary states
Supervised learning
Unsupervised learning
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032014-154520/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25032014-154520/

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