메뉴 건너뛰기




Volumn , Issue , 2011, Pages 1408-1413

Multi-kernel Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE FUNCTION; CROSS-COVARIANCE; GAUSSIAN PROCESSES; MERCER KERNEL; MULTITASK LEARNING; NOVEL METHODOLOGY; REAL DATA SETS; STATIONARY COVARIANCE;

EID: 84866614621     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-238     Document Type: Conference Paper
Times cited : (82)

References (15)
  • 1
    • 84858759793 scopus 로고    scopus 로고
    • Sparse convolved gaussian processes for multi-output regression
    • D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou, editors, MIT Press
    • M. Alvarez and N. D. Lawrence. Sparse convolved gaussian processes for multi-output regression. In D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou, editors, NIPS. MIT Press, 2009.
    • (2009) NIPS
    • Alvarez, M.1    Lawrence, N.D.2
  • 2
    • 85161977902 scopus 로고    scopus 로고
    • Multi-task gaussian process prediction
    • J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, MIT Press
    • E. V. Bonilla, K. M. Chai, and C. K. I. Williams. Multi-task gaussian process prediction. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, NIPS, pages 153-160. MIT Press, 2008.
    • (2008) NIPS , pp. 153-160
    • Bonilla, E.V.1    Chai, K.M.2    Williams, C.K.I.3
  • 3
    • 84898973907 scopus 로고    scopus 로고
    • Dependent gaussian processes
    • L. Saul, Y. Weiss, and L. Bouttou, editors, MIT Press
    • P. Boyle and M. Frean. Dependent gaussian processes. In L. Saul, Y. Weiss, and L. Bouttou, editors, NIPS, volume 17, pages 217-224. MIT Press, 2005.
    • (2005) NIPS , vol.17 , pp. 217-224
    • Boyle, P.1    Frean, M.2
  • 4
    • 0031189914 scopus 로고    scopus 로고
    • Multitask Learning
    • R. Caruana. Multitask learning. Machine Learning, 28:41-75, 1997. (Pubitemid 127507169)
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 8
    • 80053225881 scopus 로고    scopus 로고
    • Fast sparse gaussian process methods: The information vector machine
    • S. Becker, S. Thrun, and K. Obermayer, editors, MIT Press
    • N. Lawrence, M. Seeger, and R. Herbrich. Fast sparse gaussian process methods: The information vector machine. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 625-632. MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems 15 , pp. 625-632
    • Lawrence, N.1    Seeger, M.2    Herbrich, R.3
  • 9
    • 0037905968 scopus 로고    scopus 로고
    • Gaussian processes: A replacement for supervised neural networks?
    • D. MacKay. Gaussian processes: A replacement for supervised neural networks? In NIPS97 Tutorial, 1997.
    • (1997) NIPS97 Tutorial
    • MacKay, D.1
  • 10
    • 78751691799 scopus 로고    scopus 로고
    • A sparse covariance function for exact gaussian process inference in large datasets
    • A. Melkumyan and F. Ramos. A sparse covariance function for exact gaussian process inference in large datasets. In The 21st IJCAI, 2009.
    • (2009) The 21st IJCAI
    • Melkumyan, A.1    Ramos, F.2
  • 13
    • 84862602372 scopus 로고    scopus 로고
    • Semiparametric latent factor models
    • R. G. Cowell and Z. Ghahramani, editors
    • Y. W. Teh, M. Seeger, and M. I. Jordan. Semiparametric latent factor models. In R. G. Cowell and Z. Ghahramani, editors, AISTATS 10, pages 333-340, 2005.
    • (2005) AISTATS 10 , pp. 333-340
    • Teh, Y.W.1    Seeger, M.2    Jordan, M.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.