Complex network component unfolding using a particle competition technique
This work applies complex network theory to the problem of semi-supervised and unsupervised learning in networks that are representations of multivariate datasets. Complex networks allow the use of nonlinear dynamical systems to represent behaviors according to the connectivity patterns of netwo...
Main Author: | Paulo Roberto Urio |
---|---|
Other Authors: | Zhao Liang |
Language: | English |
Published: |
Universidade de São Paulo
2017
|
Subjects: | |
Online Access: | http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/ |
Similar Items
-
Complex network component unfolding using a particle competition technique
by: Urio, Paulo Roberto
Published: (2017) -
Collective dynamics in complex networks for machine learning
by: Filipe Alves Neto Verri
Published: (2018) -
Collective dynamics in complex networks for machine learning
by: Verri, Filipe Alves Neto
Published: (2018) -
Hierarchical semi-supervised confidence-based active clustering and its application to the extraction of topic hierarchies from document collections
by: Nogueira, Bruno Magalhães
Published: (2013) -
Hierarchical semi-supervised confidence-based active clustering and its application to the extraction of topic hierarchies from document collections
by: Bruno Magalhães Nogueira
Published: (2013)