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Volumn , Issue , 2011, Pages 1-8

Sparse Group Lasso for regression on land climate variables

Author keywords

Climate prediction; Sparse Group Lasso; Sparse regression

Indexed keywords

CLIMATE DATA; CLIMATE PREDICTION; CLIMATE VARIABLES; PREDICTIVE MODELS; PREDICTIVE PERFORMANCE; SPARSE GROUP LASSO; SPARSE REGRESSION; VARIABLE SELECTION;

EID: 84857153350     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2011.155     Document Type: Conference Paper
Times cited : (16)

References (22)
  • 2
    • 36248935578 scopus 로고    scopus 로고
    • Discovery of teleconnections using data mining technologies in global climate datasets
    • F. Lin, X. Jin, C. Hu, X. Gao, K. Xie, and X. Lei, "Discovery of teleconnections using data mining technologies in global climate datasets," Data Science Journal, vol. 6, pp. S749-S755, 2007.
    • (2007) Data Science Journal , vol.6
    • Lin, F.1    Jin, X.2    Hu, C.3    Gao, X.4    Xie, K.5    Lei, X.6
  • 3
    • 80052257360 scopus 로고    scopus 로고
    • Community structure and dynamics in climate networks
    • (Online First) DOI: 10.1007/s00382-010-0874-3
    • A. Tsonis, G. Wang, K. Swanson, F. Rodrigues, and L. Costa, "Community structure and dynamics in climate networks," Climate Dynamics, 2010 (Online First) DOI: 10.1007/s00382-010-0874-3.
    • (2010) Climate Dynamics
    • Tsonis, A.1    Wang, G.2    Swanson, K.3    Rodrigues, F.4    Costa, L.5
  • 7
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • Dec.
    • E. Candes and T. Tao, "Decoding by linear programming," IEEE Transactions on Information Theory, vol. 51, no. 12, pp. 4203-4215, Dec. 2005.
    • (2005) IEEE Transactions on Information Theory , vol.51 , Issue.12 , pp. 4203-4215
    • Candes, E.1    Tao, T.2
  • 8
    • 47049127967 scopus 로고    scopus 로고
    • Sparse kernel methods for high-dimensional survival data
    • L. Evers and C. Messow, "Sparse kernel methods for high-dimensional survival data," Bioinformatics, vol. 24, no. 14, pp. 1632-1638, 2008.
    • (2008) Bioinformatics , vol.24 , Issue.14 , pp. 1632-1638
    • Evers, L.1    Messow, C.2
  • 9
    • 77952717202 scopus 로고    scopus 로고
    • Sparse representation for computer vision and pattern recognition
    • J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang, and S. Yan, "Sparse representation for computer vision and pattern recognition," Proc. IEE, vol. 98, no. 6, pp. 1031-1044, 2010.
    • (2010) Proc. IEE , vol.98 , Issue.6 , pp. 1031-1044
    • Wright, J.1    Ma, Y.2    Mairal, J.3    Sapiro, G.4    Huang, T.5    Yan, S.6
  • 10
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani, "Regression shrinkage and selection via the lasso," J. Royal. Statist. Soc. B, vol. 58, pp. 267-288, 1996.
    • (1996) J. Royal. Statist. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 12
    • 33845263263 scopus 로고    scopus 로고
    • On model selection consistency of lasso
    • Nov
    • P. Zhao and B. Yu, "On model selection consistency of lasso," Journal of Machine Learning Research, vol. 7, pp. 2541-2563, Nov 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2541-2563
    • Zhao, P.1    Yu, B.2
  • 15
    • 46249088758 scopus 로고    scopus 로고
    • Consistency of the group lasso and multiple kernel learning
    • F. Bach, "Consistency of the group lasso and multiple kernel learning," Journal of Machine Learniing Research, vol. 9, pp. 1179-1225, 2008.
    • (2008) Journal of Machine Learniing Research , vol.9 , pp. 1179-1225
    • Bach, F.1
  • 17
    • 79961177418 scopus 로고    scopus 로고
    • Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science
    • K. Steinhaeuser, N. V. Chawla, and A. R. Ganguly, "Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science," Statistical Analysis and Data Mining, vol. 4, no. 5, pp. 497-511, 2011.
    • (2011) Statistical Analysis and Data Mining , vol.4 , Issue.5 , pp. 497-511
    • Steinhaeuser, K.1    Chawla, N.V.2    Ganguly, A.R.3
  • 19
    • 85161968806 scopus 로고    scopus 로고
    • Moreau-yosida regularization for grouped tree structure learning
    • J. Lafferty, rfvn1 C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds.
    • J. Liu and J. Ye, "Moreau-yosida regularization for grouped tree structure learning," in Advances in Neural Information Processing Systems 23, J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds., 2010, pp. 1459-1467.
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 1459-1467
    • Liu, J.1    Ye, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.