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Volumn 30, Issue 2, 2014, Pages 369-374

GEFCom2012 hierarchical load forecasting: Gradient boosting machines and Gaussian processes

Author keywords

Gaussian processes; Gradient boosting machines; Load forecasting

Indexed keywords


EID: 84897611035     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijforecast.2013.07.002     Document Type: Article
Times cited : (106)

References (8)
  • 1
    • 84897523758 scopus 로고    scopus 로고
    • Structure discovery in nonparametric regression through compositional kernel search. In Proceedings of the 30th international conference on machine learning.
    • Duvenaud, D., Lloyd, J. R., Grosse, R., Tenenbaum, J. B., & Ghahramani, Z. (2013). Structure discovery in nonparametric regression through compositional kernel search. In Proceedings of the 30th international conference on machine learning.
    • (2013)
    • Duvenaud, D.1    Lloyd, J.R.2    Grosse, R.3    Tenenbaum, J.B.4    Ghahramani, Z.5
  • 4
    • 84897631011 scopus 로고    scopus 로고
    • Gaussian processes for global optimization. In 3rd international conference on learning and intelligent optimization, LION3.
    • Osborne, M. A., Garnett, R., & Roberts, S. J. (2009). Gaussian processes for global optimization. In 3rd international conference on learning and intelligent optimization, LION3.
    • (2009)
    • Osborne, M.A.1    Garnett, R.2    Roberts, S.J.3
  • 8
    • 84897597980 scopus 로고    scopus 로고
    • Gaussian process covariance kernels for pattern discovery and extrapolation. In Proceedings of the 30th international conference on machine learning.
    • Wilson, A. G., & Adams, R. P. (2013). Gaussian process covariance kernels for pattern discovery and extrapolation. In Proceedings of the 30th international conference on machine learning.
    • (2013)
    • Wilson, A.G.1    Adams, R.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.