메뉴 건너뛰기




Volumn 2, Issue , 2008, Pages 716-726

Integration of multiple networks for robust label propagation

Author keywords

EM algorithm; Label propagation; Multiple networks; Protein function classification; Student t distribution

Indexed keywords

INFERENCE ENGINES; PROTEINS;

EID: 52649146370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.65     Document Type: Conference Paper
Times cited : (11)

References (20)
  • 1
    • 0036581055 scopus 로고    scopus 로고
    • Products of Gaussians and probabilistic minor component analysis
    • May
    • F. V. Agakov and C. K. I. Williams. Products of Gaussians and probabilistic minor component analysis. Neural Computation, 14(5):1169-1182, May 2002.
    • (2002) Neural Computation , vol.14 , Issue.5 , pp. 1169-1182
    • Agakov, F.V.1    Williams, C.K.I.2
  • 2
    • 84864060454 scopus 로고    scopus 로고
    • Combining graph Laplacians for semi-supervised learning
    • Y. Weiss, B. Schölkopf, and J. Piatt, editors, MIT Press, Cambridge, MA
    • A. Argyriou, M. Herbster, and M. Pontil. Combining graph Laplacians for semi-supervised learning. In Y. Weiss, B. Schölkopf, and J. Piatt, editors, Advances in Neural Information Processing Systems 18, pages 67-74. MIT Press, Cambridge, MA, 2006.
    • (2006) Advances in Neural Information Processing Systems 18 , pp. 67-74
    • Argyriou, A.1    Herbster, M.2    Pontil, M.3
  • 3
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularizaron: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularizaron: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 6
    • 84864039857 scopus 로고    scopus 로고
    • Hyperparameter and kernel learning for graph-based semisupervised classification
    • Y. Weiss, B. Schölkopf, and J. Piatt, editors, MIT Press, Cambridge, MA
    • A. Kapoor, Y. A. Qi, H. Ahn, and R. Picard. Hyperparameter and kernel learning for graph-based semisupervised classification. In Y. Weiss, B. Schölkopf, and J. Piatt, editors, Advances in Neural Information Processing Systems 18, pages 627-634. MIT Press, Cambridge, MA, 2006.
    • (2006) Advances in Neural Information Processing Systems 18 , pp. 627-634
    • Kapoor, A.1    Qi, Y.A.2    Ahn, H.3    Picard, R.4
  • 7
    • 0041775676 scopus 로고    scopus 로고
    • Diffusion kernels on graphs and other discrete structures
    • C. Sammut and A. G. Hoffmann, editors, San Francisco, Morgan Kaufmann
    • R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete structures. In C. Sammut and A. G. Hoffmann, editors, Proc. 19th International Conference on Machine Learning (ICML2002), pages 315-322. San Francisco, Morgan Kaufmann, 2002.
    • (2002) Proc. 19th International Conference on Machine Learning (ICML2002) , pp. 315-322
    • Kondor, R.I.1    Lafferty, J.2
  • 12
    • 37849037186 scopus 로고    scopus 로고
    • Graph based semi-supervised learning with sharper edges
    • Berlin, Germany, Springer-Verlag
    • H. Shin, J. Hill, and G. Ratsch. Graph based semi-supervised learning with sharper edges. In ECML 2006, pages 1008-1015, Berlin, Germany, 2006. Springer-Verlag.
    • (2006) ECML 2006 , pp. 1008-1015
    • Shin, H.1    Hill, J.2    Ratsch, G.3
  • 13
    • 4544280485 scopus 로고    scopus 로고
    • Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems
    • ACM Press
    • D. A. Spielman and S. H. Teng. Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems. In Proceedings of the 26th annual ACM symposium on Theory of computing, pages 81-90. ACM Press, 2004.
    • (2004) Proceedings of the 26th annual ACM symposium on Theory of computing , pp. 81-90
    • Spielman, D.A.1    Teng, S.H.2
  • 14
    • 27544435126 scopus 로고    scopus 로고
    • Fast protein classification with multiple networks
    • K. Tsuda, H. Shin, and B. Schölkopf. Fast protein classification with multiple networks. Bioinformatics, 21(2):i59-i65, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.2
    • Tsuda, K.1    Shin, H.2    Schölkopf, B.3
  • 15
    • 0037161731 scopus 로고    scopus 로고
    • Comparative assessment of large-scale data sets of protein-protein interactions
    • C. von Mering, R. Krause, B. Snel, M. Cornell, S. G. Oliver, S. Fields, and P. Bork. Comparative assessment of large-scale data sets of protein-protein interactions. Nature, 417:399-403, 2002.
    • (2002) Nature , vol.417 , pp. 399-403
    • von Mering, C.1    Krause, R.2    Snel, B.3    Cornell, M.4    Oliver, S.G.5    Fields, S.6    Bork, P.7
  • 16
    • 84898970768 scopus 로고    scopus 로고
    • Learning sparse topographic representations with products of Student-i distributions
    • S. Becker, S. Thrun, and K. Obermayer, editors, MIT Press, Cambridge, MA
    • M. Welling, G. Hinton, and S. Osindero. Learning sparse topographic representations with products of Student-i distributions. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 1359-1366. MIT Press, Cambridge, MA, 2003.
    • (2003) Advances in Neural Information Processing Systems 15 , pp. 1359-1366
    • Welling, M.1    Hinton, G.2    Osindero, S.3
  • 17
    • 35048818988 scopus 로고    scopus 로고
    • Semi-supervised protein classification using cluster kernels
    • S. Thrun, L. Saul, and B. Schölkopf, editors, MIT Press, Cambridge, MA
    • J. Weston, C. Leslie, D. Zhou, A. Elisseeff, and W. Noble. Semi-supervised protein classification using cluster kernels. In S. Thrun, L. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
    • (2004) Advances in Neural Information Processing Systems 16
    • Weston, J.1    Leslie, C.2    Zhou, D.3    Elisseeff, A.4    Noble, W.5
  • 18
    • 84864072823 scopus 로고    scopus 로고
    • Analysis of spectral kernel design based semi-supervised learning
    • Y. Weiss, B. Schölkopf, and J. Piatt, editors, MIT Press, Cambridge, MA
    • T. Zhang and R. Ando. Analysis of spectral kernel design based semi-supervised learning. In Y. Weiss, B. Schölkopf, and J. Piatt, editors, Advances in Neural Information Processing Systems 18, pages 1601-1608. MIT Press, Cambridge, MA, 2006.
    • (2006) Advances in Neural Information Processing Systems 18 , pp. 1601-1608
    • Zhang, T.1    Ando, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.