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Volumn , Issue , 2013, Pages

Bayesian error estimation and model selection in sparse logistic regression

Author keywords

Bayesian MMSE estimator; Linear classifiers; Logistic regression; Regularization

Indexed keywords

BAYESIAN ERROR ESTIMATION; EMBEDDED FEATURE SELECTIONS; LINEAR CLASSIFIERS; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; MMSE ESTIMATORS; REGULARIZATION; REGULARIZATION PARAMETERS;

EID: 84893264345     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2013.6661987     Document Type: Conference Paper
Times cited : (5)

References (22)
  • 1
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Yvan Saeys, Iaki Inza, and Pedro Larraaga, "A review of feature selection techniques in bioinformatics, " Bioinformatics, vol. 23, pp. 2507-17, 2007.
    • (2007) Bioinformatics , vol.23 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larraaga, P.3
  • 2
    • 65549168742 scopus 로고    scopus 로고
    • Machine learning classifiers and fMRI: A tutorial overview
    • Francisco Pereira, Tom Mitchell, and Matthew Botvinick, "Machine learning classifiers and fMRI: A tutorial overview, " NeuroImage, vol. 45, no. Suppl 1, pp. S199 - S209, 2009.
    • (2009) NeuroImage , vol.45 , Issue.SUPPL. 1
    • Pereira, F.1    Mitchell, T.2    Botvinick, M.3
  • 3
    • 0001287271 scopus 로고
    • Regression shrinkage and selection via the lasso
    • Series B
    • Robert Tibshirani, "Regression shrinkage and selection via the LASSO, " J. R. Stat. Soc., Series B, vol. 58, pp. 267-288, 1994.
    • (1994) J. R. Stat. Soc. , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 4
    • 21244437589 scopus 로고    scopus 로고
    • Sparse multinomial logistic regression: Fast algorithms and generalization bounds
    • Balaji Krishnapuram, Lawrence Carin, Mario AT Figueiredo, and Alexander J Hartemink, "Sparse multinomial logistic regression: Fast algorithms and generalization bounds, " IEEE Trans Patt Anal Mach Intell, vol. 27, no. 6, pp. 957-968, 2005.
    • (2005) IEEE Trans Patt Anal Mach Intell , vol.27 , Issue.6 , pp. 957-968
    • Krishnapuram, B.1    Carin, L.2    Figueiredo, M.A.T.3    Hartemink, A.J.4
  • 5
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • Jerome H. Friedman, Trevor Hastie, and Rob Tibshirani, "Regularization paths for generalized linear models via coordinate descent, " Journal of Statistical Software, vol. 33, no. 1, pp. 1-22, 2010.
    • (2010) Journal of Statistical Software , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 7
    • 0018179125 scopus 로고
    • Additive estimators for probabilities of correct classification
    • Ned Glick, "Additive estimators for probabilities of correct classification, " Pattern recognition, vol. 10, no. 3, pp. 211-222, 1978.
    • (1978) Pattern Recognition , vol.10 , Issue.3 , pp. 211-222
    • Glick, N.1
  • 8
    • 84876053703 scopus 로고    scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • Springer
    • Hirotogu Akaike, "Information theory and an extension of the maximum likelihood principle, " in Selected Papers of Hirotugu Akaike, pp. 199-213. Springer, 1998.
    • (1998) Selected Papers of Hirotugu Akaike , pp. 199-213
    • Akaike, H.1
  • 9
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Gideon Schwarz, "Estimating the dimension of a model, " The annals of statistics, vol. 6, no. 2, pp. 461- 464, 1978.
    • (1978) The Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 10
    • 84863363283 scopus 로고    scopus 로고
    • Extended BIC for smalln-large-P sparse GLM
    • Jiahua Chen and Zehua Chen, "Extended BIC for smalln-large-P sparse GLM, " Statistica Sinica, vol. 22, no. 2, pp. 555, 2012.
    • (2012) Statistica Sinica , vol.22 , Issue.2 , pp. 555
    • Chen, J.1    Chen, Z.2
  • 11
    • 79959465085 scopus 로고    scopus 로고
    • Bayesian minimum mean-square error estimation for classification error-part i: Definition and the bayesian mmse error estimator for discrete classification
    • Lori A Dalton and Edward R Dougherty, "Bayesian minimum mean-square error estimation for classification error-part I: Definition and the Bayesian MMSE error estimator for discrete classification, " IEEE Trans. Signal Process, vol. 59, no. 1, pp. 115-129, 2011.
    • (2011) IEEE Trans. Signal Process , vol.59 , Issue.1 , pp. 115-129
    • Dalton, L.A.1    Dougherty, E.R.2
  • 12
    • 79959394813 scopus 로고    scopus 로고
    • Bayesian minimum mean-square error estimation for classification error-part ii: The bayesian mmse error estimator for linear classification of gaussian distributions
    • Lori A Dalton and Edward R Dougherty, "Bayesian minimum mean-square error estimation for classification error-part II: The Bayesian MMSE error estimator for linear classification of Gaussian distributions, " IEEE Trans. Signal Process, vol. 59, no. 1, pp. 130-144, 2011.
    • (2011) IEEE Trans. Signal Process , vol.59 , Issue.1 , pp. 130-144
    • Dalton, L.A.1    Dougherty, E.R.2
  • 13
    • 84886193637 scopus 로고
    • The efficiency of logistic regression compared to normal discriminant analysis
    • Bradley Efron, "The efficiency of logistic regression compared to normal discriminant analysis, " J. Amer. Stat. Assoc., vol. 70, no. 352, pp. 892-898, 1975.
    • (1975) J. Amer. Stat. Assoc. , vol.70 , Issue.352 , pp. 892-898
    • Efron, B.1
  • 17
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • Sarunas J Raudys and Anil K. Jain, "Small sample size effects in statistical pattern recognition: Recommendations for practitioners, " IEEE Trans Patt Anal Mach Intell, vol. 13, no. 3, pp. 252-264, 1991.
    • (1991) IEEE Trans Patt Anal Mach Intell , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 18
    • 85042336383 scopus 로고
    • The bias of the apparent error rate in discriminant analysis
    • Geoffrey J McLachlan, "The bias of the apparent error rate in discriminant analysis, " Biometrika, vol. 63, no. 2, pp. 239-244, 1976.
    • (1976) Biometrika , vol.63 , Issue.2 , pp. 239-244
    • McLachlan, G.J.1
  • 20
    • 84880769108 scopus 로고    scopus 로고
    • Mind reading with regularized multinomial logistic regression
    • Heikki Huttunen, Tapio Manninen, Jukka-Pekka Kauppi, and Jussi Tohka, "Mind reading with regularized multinomial logistic regression, " Machine Vision and Applications, vol. 24, no. 6, pp. 1311-1325, 2013.
    • (2013) Machine Vision and Applications , vol.24 , Issue.6 , pp. 1311-1325
    • Huttunen, H.1    Manninen, T.2    Kauppi, J.-P.3    Tohka, J.4
  • 21
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Series B
    • Hui Zou and Trevor Hastie, "Regularization and variable selection via the elastic net, " J. R. Stat. Soc.: Series B, vol. 67, no. 2, pp. 301-320, 2005.
    • (2005) J. R. Stat. Soc. , vol.67 , Issue.2 , pp. 301-320
    • Zou, H.1    Hastie, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.