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Volumn , Issue , 2004, Pages 671-678

Predictive automatic relevance determination by expectation propagation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; INTEGRATION; LAPLACE TRANSFORMS; OPTIMIZATION; PARAMETER ESTIMATION; VECTORS;

EID: 14344253847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (74)

References (11)
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    • Guyon, I.1    Elisseeff, A.2
  • 3
    • 0003035079 scopus 로고    scopus 로고
    • Bayes point machine: Estimating the Bayes point in kernel space
    • Herbrich, R., Graepel, T., & Campbell, C. (1999). Bayes point machine: Estimating the Bayes point in kernel space. IJCAI Workshop SVMs (pp. 23-27).
    • (1999) IJCAI Workshop SVMs , pp. 23-27
    • Herbrich, R.1    Graepel, T.2    Campbell, C.3
  • 4
    • 0036772522 scopus 로고    scopus 로고
    • Bayesian automatic relevance determination algorithms for classifying gene expression data
    • Li, Y., Campbell, C., & Tipping, M. E. (2002). Bayesian automatic relevance determination algorithms for classifying gene expression data. Bioinformatics, 18, 1332-1339.
    • (2002) Bioinformatics , vol.18 , pp. 1332-1339
    • Li, Y.1    Campbell, C.2    Tipping, M.E.3
  • 5
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay, D. J. (1992). Bayesian interpolation. Neural Computation, 4, 415-447.
    • (1992) Neural Computation , vol.4 , pp. 415-447
    • MacKay, D.J.1
  • 6
    • 0011965365 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • Minka, T. P. (2001). Expectation propagation for approximate Bayesian inference. Uncertainty in AI'01. http://www.stat.cmu.edu/~minka/papers/ep/.
    • (2001) Uncertainty in AI'01
    • Minka, T.P.1
  • 7
    • 0003611509 scopus 로고    scopus 로고
    • No. 118 in Lecture Notes in Statistics. New York: Springer
    • Neal, R. M. (1996). Bayesian learning for neural networks. No. 118 in Lecture Notes in Statistics. New York: Springer.
    • (1996) Bayesian Learning for Neural Networks
    • Neal, R.M.1
  • 8
    • 0034320350 scopus 로고    scopus 로고
    • Gaussian processes for classification: Mean field algorithms
    • Opper, M., & Winther, O. (2000). Gaussian processes for classification: Mean field algorithms. Neural Computation.
    • (2000) Neural Computation
    • Opper, M.1    Winther, O.2
  • 9
    • 0342502195 scopus 로고    scopus 로고
    • Soft margins for AdaBoost
    • also NeuroCOLT Technical Report NC-TR-1998-021. In press
    • Rätsch, G., Onoda, T., & Müller, K.-R. (2001). Soft margins for AdaBoost. Machine Learning, 42, 287-320. also NeuroCOLT Technical Report NC-TR-1998-021. In press.
    • (2001) Machine Learning , vol.42 , pp. 287-320
    • Rätsch, G.1    Onoda, T.2    Müller, K.-R.3
  • 10
    • 84899032239 scopus 로고    scopus 로고
    • The relevance vector machine
    • The MIT Press
    • Tipping, M. E. (2000). The relevance vector machine. NIPS (pp. 652-658). The MIT Press.
    • (2000) NIPS , pp. 652-658
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.