메뉴 건너뛰기




Volumn 22, Issue , 2015, Pages 47-57

Incorporating auxiliary information for improved prediction using combination of kernel machines

Author keywords

Auxiliary information; Combination of kernels; Hybrid predictor; Kernel ridge regression; Mean squared prediction error

Indexed keywords


EID: 84908095492     PISSN: 15723127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stamet.2014.08.001     Document Type: Article
Times cited : (2)

References (20)
  • 1
    • 5844297152 scopus 로고
    • Theory of reproducing kernels
    • Aronszajn N. Theory of reproducing kernels. Trans. Amer. Math. Soc. 1950, 68:337-404.
    • (1950) Trans. Amer. Math. Soc. , vol.68 , pp. 337-404
    • Aronszajn, N.1
  • 2
    • 84874831068 scopus 로고    scopus 로고
    • Incorporating auxiliary information for improved prediction in high dimensional datasets: an ensemble of shrinkage approaches
    • Boonstra P.S., Taylor J.M.G., Mukherjee B. Incorporating auxiliary information for improved prediction in high dimensional datasets: an ensemble of shrinkage approaches. Biostatistics 2013, 14:259-272.
    • (2013) Biostatistics , vol.14 , pp. 259-272
    • Boonstra, P.S.1    Taylor, J.M.G.2    Mukherjee, B.3
  • 3
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regression
    • Breiman L. Stacked regression. Mach. Learn. 1996, 24:49-64.
    • (1996) Mach. Learn. , vol.24 , pp. 49-64
    • Breiman, L.1
  • 5
    • 80052818040 scopus 로고    scopus 로고
    • Kernel machine approach to testing the significance of multiple genetic markers for risk prediction
    • Cai T., Tonini G., Lin X. Kernel machine approach to testing the significance of multiple genetic markers for risk prediction. Biometrics 2011, 67:975-986.
    • (2011) Biometrics , vol.67 , pp. 975-986
    • Cai, T.1    Tonini, G.2    Lin, X.3
  • 7
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning: a knowledge-based source of inductive bias
    • Caruana R. Multitask learning: a knowledge-based source of inductive bias. Mach. Learn. 1997, 28:41-75.
    • (1997) Mach. Learn. , vol.28 , pp. 41-75
    • Caruana, R.1
  • 9
    • 0003798635 scopus 로고    scopus 로고
    • An Introduction to Support Vector Machines Cambridge U.K .
    • N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines Cambridge U.K 2000.
    • (2000)
    • Cristianini, N.1    Shawe-Taylor, J.2
  • 11
    • 84942484786 scopus 로고
    • Ridge regression: biased estimation for nonorthogonal problems
    • Hoerl A.E., Kennard R.W. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 1970, 12:55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 14
    • 40749104728 scopus 로고    scopus 로고
    • A powerful and flexible multilocus association test for quantitative traits
    • Kwee L.C., Liu D., Lin X., Ghosh D., Epstein M.P. A powerful and flexible multilocus association test for quantitative traits. Am. J. Hum. Genet. 2008, 82:386-397.
    • (2008) Am. J. Hum. Genet. , vol.82 , pp. 386-397
    • Kwee, L.C.1    Liu, D.2    Lin, X.3    Ghosh, D.4    Epstein, M.P.5
  • 15
    • 48249142391 scopus 로고    scopus 로고
    • Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models
    • Liu D., Ghosh D., Lin X. Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models. BMC Bioinformatics 2008, 9:292.
    • (2008) BMC Bioinformatics , vol.9 , pp. 292
    • Liu, D.1    Ghosh, D.2    Lin, X.3
  • 16
    • 36749013671 scopus 로고    scopus 로고
    • Semiparametric regression of multi-dimensional genetic pathway data: least squares kernel machine and linear mixed models
    • Liu D., Lin X., Ghosh D. Semiparametric regression of multi-dimensional genetic pathway data: least squares kernel machine and linear mixed models. Biometrics 2007, 63:1079-1088.
    • (2007) Biometrics , vol.63 , pp. 1079-1088
    • Liu, D.1    Lin, X.2    Ghosh, D.3
  • 17
    • 77952104240 scopus 로고    scopus 로고
    • Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease
    • Stein J.L., Hua X., Morra J.H., et al. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neurolmage 2010, 51:542-554.
    • (2010) Neurolmage , vol.51 , pp. 542-554
    • Stein, J.L.1    Hua, X.2    Morra, J.H.3
  • 19
    • 84908190167 scopus 로고    scopus 로고
    • A Complete Analysis of the Group-Lasso. arXiv preprint
    • J. Vogt, V. Roth, A Complete Analysis of the l1,p Group-Lasso. arXiv preprint (2012). arxiv:1206.4632.
    • (2012) , pp. l1
    • Vogt, J.1    Roth, V.2
  • 20
    • 84943356309 scopus 로고    scopus 로고
    • An adaptive genetic association test using double kernel machines
    • Zhan X., Epstein M., Ghosh D. An adaptive genetic association test using double kernel machines. Stat. Biosci. 2014, 10.1007/s12561-014-9116-2.
    • (2014) Stat. Biosci.
    • Zhan, X.1    Epstein, M.2    Ghosh, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.