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Volumn , Issue , 2008, Pages

Multi-task Gaussian Process prediction

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS;

EID: 85161977902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (932)

References (20)
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    • Multitask learning
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  • 4
    • 84864069510 scopus 로고    scopus 로고
    • Stochastic relational models for discriminative link prediction
    • Cambridge, MA. MIT Press
    • Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, and Zhao Xu. Stochastic Relational Models for Discriminative Link Prediction. In NIPS 19, Cambridge, MA, 2007. MIT Press.
    • (2007) NIPS , vol.19
    • Yu, K.1    Chu, W.2    Yu, S.3    Tresp, V.4    Xu, Z.5
  • 6
    • 33947110315 scopus 로고    scopus 로고
    • Maximum-likelihood estimation for multivariate spatial linear coregionalization models
    • DOI 10.1002/env.807
    • Hao Zhang. Maximum-likelihood estimation for multivariate spatial linear coregionalization models. Environmetrics, 18(2):125-139, 2007. (Pubitemid 46395831)
    • (2007) Environmetrics , vol.18 , Issue.2 , pp. 125-139
    • Zhang, H.1
  • 8
    • 0007295137 scopus 로고    scopus 로고
    • A Markov property for covariance structures
    • Nottingham University
    • A. O'Hagan. A Markov property for covariance structures. Statistics Research Report 98-13, Nottingham University, 1998.
    • (1998) Statistics Research Report , pp. 98-13
    • O'hagan, A.1
  • 13
    • 0041494227 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • S. Thrun. Is Learning the n-th Thing Any Easier Than Learning the First? In NIPS 8, 1996.
    • (1996) NIPS 8
    • Thrun, S.1
  • 17
    • 84899006514 scopus 로고    scopus 로고
    • Learning gaussian process kernels via hierarchical bayes
    • Cambridge, MA. MIT Press
    • Anton Schwaighofer, Volker Tresp, and Kai Yu. Learning Gaussian Process Kernels via Hierarchical Bayes. In NIPS 17, Cambridge, MA, 2005. MIT Press.
    • (2005) NIPS , vol.17
    • Schwaighofer, A.1    Tresp, V.2    Yu, K.3
  • 20
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for bayesian multitask learning
    • May
    • Bart Bakker and Tom Heskes. Task Clustering and Gating for Bayesian Multitask Learning. Journal of Machine Learning Research, 4:83-99, May 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.