메뉴 건너뛰기




Volumn 5360 LNAI, Issue , 2008, Pages 318-324

L-1 LASSO modeling and its Bayesian inference

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BIONICS; CURVE FITTING; INFERENCE ENGINES;

EID: 58349096559     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89378-3_31     Document Type: Conference Paper
Times cited : (1)

References (20)
  • 1
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the LASSO
    • Tibshirani, R.: Regression shrinkage and selection via the LASSO. J. Royal. Statist. Soc. B 58, 267-288 (1996)
    • (1996) J. Royal. Statist. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 3
    • 39449126969 scopus 로고    scopus 로고
    • Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
    • Figueiredo, M., Nowak, R., Wright, S.: Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE Journal of Selected Topics in Signal Processing 1(4), 586-597 (2007)
    • (2007) IEEE Journal of Selected Topics in Signal Processing , vol.1 , Issue.4 , pp. 586-597
    • Figueiredo, M.1    Nowak, R.2    Wright, S.3
  • 8
    • 29444447147 scopus 로고    scopus 로고
    • Local regularization assisted orthogonal least squares regression
    • Chen, S.: Local regularization assisted orthogonal least squares regression. Neuro-Computing 69, 559-585 (2006)
    • (2006) Neuro-Computing , vol.69 , pp. 559-585
    • Chen, S.1
  • 9
    • 0031632516 scopus 로고    scopus 로고
    • Support vector machines for system identification
    • Swansea, U.K, pp
    • Drezet, P., Harrison, R.: Support vector machines for system identification. In: Proceeding of UKACC Int. Conf. Control 1998, Swansea, U.K., pp. 688-692 (1998)
    • (1998) Proceeding of UKACC Int. Conf. Control , pp. 688-692
    • Drezet, P.1    Harrison, R.2
  • 10
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M.: Sparse Bayesian learning and the relevance vector machine. J. Machine Learning Research 1, 211-244 (2001)
    • (2001) J. Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.1
  • 11
    • 0024771664 scopus 로고
    • Orthogonal least squares methods and their application to non-linear system identification
    • Chen, S., Billings, S., Luo, W.: Orthogonal least squares methods and their application to non-linear system identification. International Journal of Control 50(5), 1873-1896 (1989)
    • (1989) International Journal of Control , vol.50 , Issue.5 , pp. 1873-1896
    • Chen, S.1    Billings, S.2    Luo, W.3
  • 16
    • 58349110870 scopus 로고    scopus 로고
    • Pontil, M., Mukherjee, S., Girosi, F.: On the noise model of support vector machine regression. A.I. Memo 1651, AI Laboratory, MIT (1998)
    • Pontil, M., Mukherjee, S., Girosi, F.: On the noise model of support vector machine regression. A.I. Memo 1651, AI Laboratory, MIT (1998)
  • 17
    • 82155175029 scopus 로고    scopus 로고
    • Adapting kernels by variational approach in SVM
    • McKay, B, Slaney, J.K, eds, Canadian AI 2002, Springer, Heidelberg
    • Gao, J., Gunn, S., Kandola, J.: Adapting kernels by variational approach in SVM. In: McKay, B., Slaney, J.K. (eds.) Canadian AI 2002. LNCS (LNAI), vol. 2557, pp. 395-406. Springer, Heidelberg (2002)
    • (2002) LNCS (LNAI , vol.2557 , pp. 395-406
    • Gao, J.1    Gunn, S.2    Kandola, J.3
  • 18
    • 38349060081 scopus 로고    scopus 로고
    • Gao, J., Xu, R.: Mixture of the robust L1 distributions and its applications. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), 4830, pp. 26-35. Springer, Heidelberg (2007)
    • Gao, J., Xu, R.: Mixture of the robust L1 distributions and its applications. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol. 4830, pp. 26-35. Springer, Heidelberg (2007)
  • 19
    • 38349073064 scopus 로고    scopus 로고
    • Robust L1 principal component analysis and its Bayesian variational inference
    • Gao, J.: Robust L1 principal component analysis and its Bayesian variational inference. Neural Computation 20, 555-572 (2008)
    • (2008) Neural Computation , vol.20 , pp. 555-572
    • Gao, J.1
  • 20
    • 0001731811 scopus 로고
    • The identification of linear and nonlinear models of a turbocharged automotive diesel engine
    • Billings, S., Chen, S., Backhouse, R.: The identification of linear and nonlinear models of a turbocharged automotive diesel engine. Mech. Syst. Signal Processing 3(2), 123-142 (1989)
    • (1989) Mech. Syst. Signal Processing , vol.3 , Issue.2 , pp. 123-142
    • Billings, S.1    Chen, S.2    Backhouse, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.