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Volumn 227, Issue , 2007, Pages 449-456

Nonmyopic active learning of Gaussian processes: An exploration- exploitation approach

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FUNCTION EVALUATION; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

EID: 34547974275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273553     Document Type: Conference Paper
Times cited : (173)

References (21)
  • 2
    • 0001485154 scopus 로고
    • Optimal monitoring network designs
    • Caselton, W., & Zidek, J. (1984). Optimal monitoring network designs. Statist. Prob. Lett., 2, 223-227.
    • (1984) Statist. Prob. Lett , vol.2 , pp. 223-227
    • Caselton, W.1    Zidek, J.2
  • 3
    • 84864047848 scopus 로고    scopus 로고
    • Faster rates in regression via, active learning
    • Castro, R., Willett, R., & Nowak, R. (2005). Faster rates in regression via, active learning. NIPS.
    • (2005) NIPS
    • Castro, R.1    Willett, R.2    Nowak, R.3
  • 8
    • 31844450884 scopus 로고    scopus 로고
    • Near-optimal sensor placements in gaussian processes
    • Guestrin, C., Krause, A., & Singh, A. (2005). Near-optimal sensor placements in gaussian processes. ICML.
    • (2005) ICML
    • Guestrin, C.1    Krause, A.2    Singh, A.3
  • 9
    • 34547408715 scopus 로고    scopus 로고
    • High resolution river hydraulic and water quality characterization using rapidly déployable networked infomechanical systems (nims rd)
    • 60, CENS
    • Harmon, T. C., Ambrose, R., F., Gilbert, R. M., Fisher, J. C., Stealey, M., & Kaiser, W. J. (2006). High resolution river hydraulic and water quality characterization using rapidly déployable networked infomechanical systems (nims rd) (Technical Report 60). CENS.
    • (2006) Technical Report
    • Harmon, T.C.1    Ambrose, R.F.2    Gilbert, R.M.3    Fisher, J.C.4    Stealey, M.5    Kaiser, W.J.6
  • 10
    • 0000674872 scopus 로고
    • An exact algorithm for maximum entropy sampling
    • Ko, C., Lee, J., & Queyranne, M. (1995). An exact algorithm for maximum entropy sampling. Ops Res, 43.
    • (1995) Ops Res , vol.43
    • Ko, C.1    Lee, J.2    Queyranne, M.3
  • 13
    • 14944368724 scopus 로고    scopus 로고
    • Estimation of nonstationary spatial covariance structure
    • Nott, D. J., & Dunsmuir, W. T. M. (2002). Estimation of nonstationary spatial covariance structure. Biomet., 89.
    • (2002) Biomet , vol.89
    • Nott, D.J.1    Dunsmuir, W.T.M.2
  • 14
    • 21844468979 scopus 로고    scopus 로고
    • Learning the kernel with hyperkernels
    • Ong, C., Smola, A., & Williamson, R. (2005). Learning the kernel with hyperkernels. JMLR, 6, 1043-1071.
    • (2005) JMLR , vol.6 , pp. 1043-1071
    • Ong, C.1    Smola, A.2    Williamson, R.3
  • 17
    • 0033726013 scopus 로고    scopus 로고
    • Gaussian process regression: Active data selection and test point rejection
    • Seo, S., Wallat, M., Graepel, T., & Obermayer, K. (2000). Gaussian process regression: Active data selection and test point rejection. IJCNN (pp. 241-246).
    • (2000) IJCNN , pp. 241-246
    • Seo, S.1    Wallat, M.2    Graepel, T.3    Obermayer, K.4
  • 19
    • 34547998195 scopus 로고    scopus 로고
    • (99). Truncated covariance matrices and toeplitz methods in gaussian processes
    • Storkey, A. J. (99). Truncated covariance matrices and toeplitz methods in gaussian processes. ICANN.
    • ICANN
    • Storkey, A.J.1
  • 20
    • 4544388567 scopus 로고    scopus 로고
    • Mixtures of gaussian processes
    • Tresp, V. (2000). Mixtures of gaussian processes. NIPS (pp. 654-660).
    • (2000) NIPS , pp. 654-660
    • Tresp, V.1
  • 21
    • 33646048012 scopus 로고    scopus 로고
    • Spatial sampling design for prediction with estimated parameters
    • Zhu, Z., & Stein, M. L. (2006). Spatial sampling design for prediction with estimated parameters. J Agric., Biol. Env. Statist., 11, 24-49.
    • (2006) J Agric., Biol. Env. Statist , vol.11 , pp. 24-49
    • Zhu, Z.1    Stein, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.