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Volumn , Issue , 2011, Pages

Learning higher-order graph structure with features by structure penalty

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; REGRESSION ANALYSIS; SPEECH RECOGNITION; UNDIRECTED GRAPHS;

EID: 85162379408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (21)
  • 1
    • 33747163541 scopus 로고    scopus 로고
    • High-dimensional graphs and variable selection with the lasso
    • N. Meinshausen and P. Buhlmann. High-dimensional graphs and variable selection with the lasso. The Annals of Statistics, 34(3):1436-1462, 2006.
    • (2006) The Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Buhlmann, P.2
  • 3
    • 77951455815 scopus 로고    scopus 로고
    • High-dimensional Ising model selection using l1- regularized logistic regression
    • P. Ravikumar, M.J. Wainwright, and J. Lafferty. High-dimensional Ising model selection using l1- regularized logistic regression. Annals of Statistics, 38(3):1287-1319, 2010.
    • (2010) Annals of Statistics , vol.38 , Issue.3 , pp. 1287-1319
    • Ravikumar, P.1    Wainwright, M.J.2    Lafferty, J.3
  • 4
    • 66549109770 scopus 로고    scopus 로고
    • Estimation of sparse binary pairwise markov networks using pseudolikelihoods
    • H. Höfling and R. Tibshirani. Estimation of sparse binary pairwise markov networks using pseudolikelihoods. The Journal of Machine Learning Research, 10:883-906, 2009.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 883-906
    • Höfling, H.1    Tibshirani, R.2
  • 5
    • 85161998279 scopus 로고    scopus 로고
    • Graph-valued regression
    • J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R.S. Zemel, and A. Culotta, editors
    • Han Liu, Xi Chen, John Lafferty, and Larry Wasserman. Graph-valued regression. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R.S. Zemel, and A. Culotta, editors, Advances in Neural Information Processing Systems 23, pages 1423-1431. 2010.
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 1423-1431
    • Liu, H.1    Chen, X.2    Lafferty, J.3    Wasserman, L.4
  • 11
    • 69949155103 scopus 로고    scopus 로고
    • The composite absolute penalties family for grouped and hierarchical variable selection
    • P. Zhao, G. Rocha, and B. Yu. The composite absolute penalties family for grouped and hierarchical variable selection. Annals of Statistics, 37(6A):3468-3497, 2009.
    • (2009) Annals of Statistics , vol.37 , Issue.6 A , pp. 3468-3497
    • Zhao, P.1    Rocha, G.2    Yu, B.3
  • 12
    • 80053435559 scopus 로고    scopus 로고
    • Accelerated block-coordinate relaxation for regularized optimization
    • University of Wisconsin-Madison
    • S.J. Wright. Accelerated block-coordinate relaxation for regularized optimization. Technical report, Department of Computer Science, University of Wisconsin-Madison, 2010.
    • (2010) Technical Report, Department of Computer Science
    • Wright, S.J.1
  • 14
    • 1842816363 scopus 로고    scopus 로고
    • Smoothing Spline ANOVA for multivariate Bernoulli observations, with application to ophthalmology data
    • F. Gao, G. Wahba, R. Klein, and B. Klein. Smoothing Spline ANOVA for multivariate Bernoulli observations, with application to ophthalmology data. Journal of the American Statistical Association, 96(453):127, 2001.
    • (2001) Journal of the American Statistical Association , vol.96 , Issue.453 , pp. 127
    • Gao, F.1    Wahba, G.2    Klein, R.3    Klein, B.4
  • 17
  • 20
    • 34547688865 scopus 로고    scopus 로고
    • An interior-point method for large-scale l1-regularized logistic regression
    • K. Koh, S.J. Kim, and S. Boyd. An interior-point method for large-scale l1-regularized logistic regression. Journal of Machine learning research, 8(8):1519-1555, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , Issue.8 , pp. 1519-1555
    • Koh, K.1    Kim, S.J.2    Boyd, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.