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 enabling a...

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

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