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Volumn 2015-January, Issue January, 2014, Pages 1061-1066

ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting

Author keywords

Ensemble Forecasting; Online Multi task Learning

Indexed keywords

DATA MINING; DECISION MAKING; E-LEARNING; NONLINEAR DYNAMICAL SYSTEMS; SOIL MOISTURE;

EID: 84936950353     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2014.90     Document Type: Conference Paper
Times cited : (15)

References (10)
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    • Araujo, M.1    New, M.2
  • 2
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    • Linear algor ithms for online multitask classification
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    • G. Cavallanti, N. Cesa-Bianchi, and C. Gentile. Linear algor ithms for online multitask classification. J. Mach. Learn. Res., 11:2901-2934, Dec. 2010.
    • (2010) J. Mach. Learn. Res , vol.11 , pp. 2901-2934
    • Cavallanti, G.1    Cesa-Bianchi, N.2    Gentile, C.3
  • 4
    • 35748941366 scopus 로고    scopus 로고
    • Online learning of multiple tasks with a shared loss
    • Dec
    • O. Dekel, P. M. Long, and Y. Singer. Online learning of multiple tasks with a shared loss. J. Mach. Learn. Res., 8:2233-2264, Dec. 2007.
    • (2007) J. Mach. Learn. Res , vol.8 , pp. 2233-2264
    • Dekel, O.1    Long, P.M.2    Singer, Y.3
  • 5
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    • Weather forecasting with ensemble methods
    • T. Gneiting and A. Raftery. Weather forecasting with ensemble methods. Science, 310:248-249, 2005.
    • (2005) Science , vol.310 , pp. 248-249
    • Gneiting, T.1    Raftery, A.2
  • 7
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    • Use of bayesian merging techniques in a multimodel seasonal hydrologic ensemble prediction system for the eastern united states
    • L. Luo and E. Wood. Use of bayesian merging techniques in a multimodel seasonal hydrologic ensemble prediction system for the eastern united states. J of Hydrometeorology, 9:866-884, 2008.
    • (2008) J of Hydrometeorology , vol.9 , pp. 866-884
    • Luo, L.1    Wood, E.2
  • 8
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    • Tracking climate models
    • In A. N. Srivastava, N. V. Chawla, P. S. Yu, and P. Melby, editors. NASA Ames Research Center
    • C. Monteleoni, G. A. Schmidt, and S. Saroha. Tracking climate models. In A. N. Srivastava, N. V. Chawla, P. S. Yu, and P. Melby, editors, CIDU, pages 1-15. NASA Ames Research Center, 2010.
    • (2010) CIDU , pp. 1-15
    • Monteleoni, C.1    Schmidt, G.A.2    Saroha, S.3
  • 9
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    • Online learning of multiple tasks and their relationships
    • In G. J. Gordon, D. B. Dunson, and M. Dud?k, editors. JMLR.org
    • A. Saha, P. Rai, H. D. III, and S. Venkatasubramanian. Online learning of multiple tasks and their relationships. In G. J. Gordon, D. B. Dunson, and M. Dud?k, editors, AISTATS, volume 15 of JMLR Proceedings, pages 643-651. JMLR.org, 2011.
    • (2011) AISTATS Volume 15 of JMLR Proceedings , pp. 643-651
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  • 10
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    • Long-range experimental hydrologic forecasting for the eastern united states
    • A. Wood, E. Maurer, A. Kumar, and D. Letten maier. Long-range experimental hydrologic forecasting for the eastern united states. J of Geophysical Research, 107(D20):doi:10.1029/2001JD000659, 2002.
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    • Wood, A.1    Maurer, E.2    Kumar, A.3    Letten Maier, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.