메뉴 건너뛰기




Volumn 5476 LNAI, Issue , 2009, Pages 401-413

Online feature selection algorithm with bayesian ℓ 1 regularization

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC SOLUTION; AUTOMATIC ESTIMATION; BATCH LEARNING; BAYESIAN; BAYESIAN LEARNING; BENCHMARK DATA; FEATURE SELECTION ALGORITHM; LOCAL LEARNING; NONLINEAR PROBLEMS; NUMERICAL EXPERIMENTS; ONLINE FEATURE SELECTION; ONLINE LEARNING; REGULARIZATION PARAMETERS; TRAINING DATA; VARIATIONAL METHODS;

EID: 67650661623     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_37     Document Type: Conference Paper
Times cited : (6)

References (21)
  • 1
    • 33746176183 scopus 로고    scopus 로고
    • Challenges in statistical machine learning
    • Lafferty, J., Wasserman, L.: Challenges in statistical machine learning. Stat. Sinica 16, 307-322 (2006) (Pubitemid 44085505)
    • (2006) Statistica Sinica , vol.16 , Issue.2 , pp. 307-322
    • Lafferty, J.1    Wasserman, L.2
  • 2
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res 3, 1157-1182 (2003)
    • (2003) J. Mach. Learn. Res 3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 3
    • 0002649659 scopus 로고    scopus 로고
    • Novel methods for subset selection with respect to problem knowledge
    • Pudil, P., Novovicova, J.: Novel methods for subset selection with respect to problem knowledge. IEEE Intell. Sys. 13(2), 66-74 (1998)
    • (1998) IEEE Intell. Sys. , vol.13 , Issue.2 , pp. 66-74
    • Pudil, P.1    Novovicova, J.2
  • 5
    • 52649105963 scopus 로고    scopus 로고
    • A feature selection algorithm capable of handling extre-mely large data dimensionality
    • Sun, Y., Todorovic, S., Goodison, S.: A feature selection algorithm capable of handling extre-mely large data dimensionality. In: Proc. 8th SIAM Conf. Data Mining, pp. 530-540 (2008)
    • (2008) Proc. 8th SIAM Conf. Data Mining , pp. 530-540
    • Sun, Y.1    Todorovic, S.2    Goodison, S.3
  • 7
    • 32944455697 scopus 로고    scopus 로고
    • Similarity-based online feature selection in content-based image retrieval
    • DOI 10.1109/TIP.2005.863105
    • Jiang, W., Er, G., Dai, Q., Gu, J.: Similarity-based online feature selection in content-based image retrieval. IEEE Trans. Image Proc. 15(3), 702-712 (2006) (Pubitemid 43257568)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.3 , pp. 702-712
    • Jiang, W.1    Er, G.2    Dai, Q.3    Gu, J.4
  • 10
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39(1), 1-38 (1977)
    • (1977) J. R. Stat. Soc. Ser. , vol.B 39 , Issue.1 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 11
    • 33845881963 scopus 로고    scopus 로고
    • Improved breast cancer prognosis through the combination of clinical and genetic markers
    • DOI 10.1093/bioinformatics/btl543
    • Sun, Y., Goodison, S., Li, J., Liu, L., Farmerie,W.: Improved breast cancer prognosis through the combination of clinical and genetic markers. Bioinformatics 23(1), 30-37 (2007) (Pubitemid 46017852)
    • (2007) Bioinformatics , vol.23 , Issue.1 , pp. 30-37
    • Sun, Y.1    Goodison, S.2    Li, J.3    Liu, L.4    Farmerie, W.5
  • 12
    • 14344249889 scopus 로고    scopus 로고
    • Feature selection L1 vs. L2 regularization, and rotational invariance
    • Ng, A.Y.: Feature selection, L1 vs. L2 regularization, and rotational invariance. In: Proc. 21st Int. Conf. Mach. Learn., pp. 78-86 (2004)
    • (2004) Proc. 21st Int. Conf. Mach. Learn , pp. 78-86
    • Ng, A.Y.1
  • 13
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R.: Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B 58(1), 267-288 (1996)
    • (1996) J. R. Stat. Soc. Ser. , vol.B 58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 15
    • 10444264949 scopus 로고    scopus 로고
    • Introduction to stochastic search and optimization: Estimation
    • John Wiley Chichester
    • Spall, J.C.: Introduction to Stochastic Search and Optimization: Estimation, Simulation and Control. John Wiley, Chichester (2003)
    • (2003) Simulation and Control
    • Spall, J.C.1
  • 17
    • 0000234257 scopus 로고
    • The evidence framework applied to classification networks
    • MacKay, D.J.: The evidence framework applied to classification networks. Neural Comp. 4(5), 720-736 (1992)
    • (1992) Neural Comp. , vol.4 , Issue.5 , pp. 720-736
    • MacKay, D.J.1
  • 18
    • 15844420667 scopus 로고    scopus 로고
    • The evidence framework applied to sparse kernel logistic regression
    • DOI 10.1016/j.neucom.2004.11.021, PII S0925231204005211
    • Cawley, G.C., Talbot, N.L.: The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64, 119-135 (2005) (Pubitemid 40425315)
    • (2005) Neurocomputing , vol.64 , Issue.1-4 SPEC. ISS. , pp. 119-135
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 19
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay, D.J.: Bayesian interpolation. Neural Comp. 4(3), 415-447 (1992)
    • (1992) Neural Comp. , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.J.1
  • 20
    • 0042685161 scopus 로고    scopus 로고
    • Bayesian parameter estimation via variational methods
    • Jaakkola, T.S., Jordan, M.I.: Bayesian parameter estimation via variational methods. Stat. and Comp. 10, 25-37 (2000)
    • (2000) Stat. and Comp. , vol.10 , pp. 25-37
    • Jaakkola, T.S.1    Jordan, M.I.2
  • 21
    • 34247622378 scopus 로고    scopus 로고
    • Iterative RELIEF for feature weighting: Algorithms, theories, and applications
    • DOI 10.1109/TPAMI.2007.1093
    • Sun, Y.: Iterative RELIEF for feature weighting: Algorithms, theories, and applications. IEEE Trans. Pattern Anal. Mach. Intell. 29, 1035-1051 (2007) (Pubitemid 46667414)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.6 , pp. 1035-1051
    • Sun, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.