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Volumn , Issue , 2010, Pages 701-708

Learning structural changes of Gaussian graphical models in controlled experiments

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVEX OPTIMIZATION; GRAPHIC METHODS; RANDOM VARIABLES;

EID: 80053138446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (20)
  • 1
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    • Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
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    • (2008) Journal of Machine Learning Research , vol.9 , pp. 485-516
    • Banerjee, O.1    El Ghaoui, L.2    D'Aspremont, A.3
  • 4
    • 45849134070 scopus 로고    scopus 로고
    • Sparse inverse covariance estimation with the graphical lasso
    • DOI 10.1093/biostatistics/kxm045
    • Friedman, J., Hastie, T., and Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3), 432-441. (Pubitemid 351882084)
    • (2008) Biostatistics , vol.9 , Issue.3 , pp. 432-441
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 10
    • 4644326931 scopus 로고    scopus 로고
    • Genomic analysis of regulatory network dynamics reveals large topological changes
    • DOI 10.1038/nature02782
    • Luscombe, N. M., Madan Babu, M., Yu, H., Snyder, M., Teichmann, S. A., and Gerstein, M. (2004). Genomic analysis of regulatory network dynamics reveals large topological changes. Nature, 431(7006), 308-312. (Pubitemid 39265665)
    • (2004) Nature , vol.431 , Issue.7006 , pp. 308-312
    • Luscombe, N.M.1    Babu, M.M.2    Yu, H.3    Snyder, M.4    Teichmann, S.A.5    Gerstein, M.6
  • 11
    • 33747163541 scopus 로고    scopus 로고
    • High-dimensional graphs and variable selection with the Lasso
    • DOI 10.1214/009053606000000281
    • Meinshausen, N. and Bühlmann, P. (2006). High-dimensional graphs and variable selection with the lasso. The Annals of Statistics, 34(3), 1436-1462. (Pubitemid 44231168)
    • (2006) Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Buhlmann, P.2
  • 12
    • 36348990694 scopus 로고    scopus 로고
    • Learning graphical model structure using L1-regularization paths
    • AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
    • Schmidt, M., Niculescu-Mizil, A., and Murphy, K. (2007). Learning graphical model structure using L1-regularization paths. In AAAI'07: Proceedings of the 22nd national conference on Artificial intelligence, pages 1278-1283. AAAI Press. (Pubitemid 350149743)
    • (2007) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1278-1283
    • Schmidt, M.1    Niculescu-Mizil, A.2    Murphy, K.3
  • 15
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for non-differentiable minimization
    • Tseng, P. (2001). Convergence of a block coordinate descent method for non-differentiable minimization. Journal of Optimization Theory and Applications, 109(3), 475-494.
    • (2001) Journal of Optimization Theory and Applications , vol.109 , Issue.3 , pp. 475-494
    • Tseng, P.1
  • 18
    • 60149089400 scopus 로고    scopus 로고
    • Differential dependency network analysis to identify condition-specific topological changes in biological networks
    • Zhang, B., Li, H., Riggins, R. B., Zhan, M., Xuan, J., Zhang, Z., Höman, E. P., Clarke, R., andWang, Y. (2009). Differential dependency network analysis to identify condition-specific topological changes in biological networks. Bioinformatics, 25(4), 526-532.
    • (2009) Bioinformatics , vol.25 , Issue.4 , pp. 526-532
    • Zhang, B.1    Li, H.2    Riggins, R.B.3    Zhan, M.4    Xuan, J.5    Zhang, Z.6    Höman, E.P.7    Clarke, R.8    Wang, Y.9
  • 19
    • 33845263263 scopus 로고    scopus 로고
    • On model selection consistency of Lasso
    • Zhao, P. and Yu, B. (2006). On model selection consistency of lasso. Journal of Machine Learning Research, 7, 2541-2563. (Pubitemid 44866738)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2541-2563
    • Zhao, P.1    Yu, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.