메뉴 건너뛰기




Volumn , Issue , 2000, Pages 638-644

On input selection with reversible jump Markov chain Monte Carlo sampling

Author keywords

[No Author keywords available]

Indexed keywords

MONTE CARLO METHODS; RADIAL BASIS FUNCTION NETWORKS;

EID: 21244492142     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 2
    • 0021518209 scopus 로고
    • Stochastic relaxation, gibbs distributions and the bayesian restoration of images
    • S. Geman and D. Geman. Stochastic relaxation, gibbs distributions and the bayesian restoration of images. IEEE Trans. Pattn. Anal. Mach. Intel., 6:721-741, 1984.
    • (1984) IEEE Trans. Pattn. Anal. Mach. Intel. , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 3
    • 0001551844 scopus 로고
    • Supervised learning from incomplete data via an em approach
    • Cowan J.D. et al.(eds.) Morgan Kaufmann, Los Altos/Palo Alto/San Francisco
    • Z. Ghahramani, M.I. Jordan Supervised Learning from Incomplete Data via an EM Approach In Cowan J.D., et al.(eds.), Advances in Neural Information Processing Systems 6, Morgan Kaufmann, Los Altos/Palo Alto/San Francisco, pp.120-127, 1994.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 120-127
    • Ghahramani, Z.1    Jordan, M.I.2
  • 4
    • 77956889087 scopus 로고
    • Reversible jump markov chain monte carlo computation and bayesian model determination
    • P. J. Green. Reversible jump markov chain monte carlo computation and bayesian model determination. Biometrika, 82:711-732, 1995.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 5
    • 0000840529 scopus 로고    scopus 로고
    • Bayesian radial basis functions of variable dimension
    • C. C. Holmes and B. K. Mallick. Bayesian radial basis functions of variable dimension. Neural Computation, 10:1217-1234, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1217-1234
    • Holmes, C.C.1    Mallick, B.K.2
  • 7
    • 0002013327 scopus 로고    scopus 로고
    • Bayesian model comparison via jump diflusioons
    • W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, London, Chapman & Hall
    • D. B. Phillips and A. F. M. Smith. Bayesian model comparison via jump diflusioons. In W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors, Markov Chain Monte Carlo in Practice, pages 215-239, London, 1996. Chapman & Hall.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 215-239
    • Phillips, D.B.1    Smith, A.F.M.2
  • 8
    • 18244378520 scopus 로고    scopus 로고
    • On bayesian analysis of mixtures with an unknown number of components
    • S. Richardson and P.J. Green On Bayesian Analysis of Mixtures with an unknown number of components Journal Royal Stat. Soc. B, 59:731-792, 1997.
    • (1997) Journal Royal Stat. Soc. B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.J.2
  • 9
    • 85153955894 scopus 로고
    • A mixture model system for medical and machine diagnosis
    • Tesauro G. et al.(eds.) MIT Press, Cambridge/Boston/London
    • M. Stensmo, T.J. Sejnowski A Mixture Model System for Medical and Machine Diagnosis In Tesauro G., et al.(eds.), Advances in Neural Information Processing System 7, MIT Press, Cambridge/Boston/London, pp.1077-1084, 1995.
    • (1995) Advances in Neural Information Processing System , vol.7 , pp. 1077-1084
    • Stensmo, M.1    Sejnowski, T.J.2
  • 10
    • 0026151470 scopus 로고
    • A neural network approach to statistical pattern classification by semiparametric estimation of probability density functions
    • H. G. C. Traven A neural network approach to statistical pattern classification by "semiparametric" estimation of probability density functions IEEE Trans. Neur. Net., 2:366-377, 1991.
    • (1991) IEEE Trans. Neur. Net. , vol.2 , pp. 366-377
    • Traven, H.G.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.