Machine learning via dynamical processes in complex networks
Referências
[Bertini et al. 2011] Bertini, J. R., Zhao, L., Motta, R., and Lopes, A. d. A. (2011). A nonparametric classification method based on k-associated graphs. Information Sciences, 181:5435–5456.
[Breve et al. 2012] Breve, F., Zhao, L., Quiles, M. G., Pedrycz,W., and Liu, J. (2012). Particle competition and cooperation in networks for semi-supervised learning. Knowledge and Data Engineering, IEEE Transactions on, 24(9):1686–1698.
[Silva et al. 2013] Silva, T. C., Zhao, L., and Cupertino, T. H. (2013). Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, 45(3):264–276.
[Yan et al. 2007] Yan, S., Xu, D., Zhang, B., Zhang, H.-J., Yang, Q., and Lin, S. (2007). Graph embedding and extensions: A general framework for dimensionality reduction. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(1):40–51.
[Breve et al. 2012] Breve, F., Zhao, L., Quiles, M. G., Pedrycz,W., and Liu, J. (2012). Particle competition and cooperation in networks for semi-supervised learning. Knowledge and Data Engineering, IEEE Transactions on, 24(9):1686–1698.
[Silva et al. 2013] Silva, T. C., Zhao, L., and Cupertino, T. H. (2013). Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, 45(3):264–276.
[Yan et al. 2007] Yan, S., Xu, D., Zhang, B., Zhang, H.-J., Yang, Q., and Lin, S. (2007). Graph embedding and extensions: A general framework for dimensionality reduction. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(1):40–51.
Publicado
28/07/2014
Como Citar
CUPERTINO, Thiago; LIANG, Zhao.
Machine learning via dynamical processes in complex networks. In: CONCURSO DE TESES E DISSERTAÇÕES (CTD), 27. , 2014, Brasília.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 13-18.
ISSN 2763-8820.