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Volumn , Issue , 1999, Pages 309-315

Mean field methods for classification with Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; STATISTICAL MECHANICS;

EID: 0039814276     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (16)
  • 1
    • 0000308194 scopus 로고    scopus 로고
    • Gaussian processes for Bayesian classification via hybrid Monte Carlo
    • M. C Mozer, M. I. Jordan and T. Petsche, eds. MIT Press
    • D. Barber and C. K. I. Williams, Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo, in Neural Information Processing Systems 9, M. C Mozer, M. I. Jordan and T. Petsche, eds., 340-346. MIT Press (1997).
    • (1997) Neural Information Processing Systems , vol.9 , pp. 340-346
    • Barber, D.1    Williams, C.K.I.2
  • 3
    • 0023843391 scopus 로고
    • Analysis of hidden units in a layered network trained to classify sonar targets
    • R. P. Gorman and T. J. Sejnowski, Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets, Neural Networks 1, 75 (1988).
    • (1988) Neural Networks , vol.1 , pp. 75
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 5
    • 36149037182 scopus 로고
    • The space of interactions in neural networks: Gardner's computation with the cavity method
    • M. Mézard, The Space of interactions in Neural Networks: Gardner's Computation with the Cavity Method, J. Phys. A 22, 2181 (1989).
    • (1989) J. Phys. A , vol.22 , pp. 2181
    • Mézard, M.1
  • 7
    • 0003611509 scopus 로고    scopus 로고
    • Bayesian learning for neural networks
    • Springer
    • R. Neal, Bayesian Learning for Neural Networks, Lecture Notes in Statistics, Springer (1996).
    • (1996) Lecture Notes in Statistics
    • Neal, R.1
  • 8
    • 0004220749 scopus 로고    scopus 로고
    • Monte Carlo implementation of Gaussian process models for Bayesian regression and classification
    • Dept. of Computer Science, University of Toronto
    • R. M. Neal, Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification, Technical Report CRG-TR-97-2, Dept. of Computer Science, University of Toronto (1997).
    • (1997) Technical Report CRG-TR-97-2
    • Neal, R.M.1
  • 9
    • 0000286518 scopus 로고    scopus 로고
    • A mean field approach to bayes learning in feed-forward neural networks
    • M. Opper and O. Winther, A Mean Field Approach to Bayes Learning in Feed-Forward Neural Networks, Phys. Rev. Lett. 76, 1964 (1996).
    • (1996) Phys. Rev. Lett. , vol.76 , pp. 1964
    • Opper, M.1    Winther, O.2
  • 10
    • 84898996834 scopus 로고    scopus 로고
    • A mean field algorithm for bayes learning in large feed-forward neural networks
    • M. C. Mozer, M. I. Jordan and T. Petsche, eds. MIT Press
    • M. Opper and O. Winther, A Mean Field Algorithm for Bayes Learning in Large Feed-Forward Neural Networks, in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan and T. Petsche, eds., 225-231. MIT Press (1997).
    • (1997) Neural Information Processing Systems , vol.9 , pp. 225-231
    • Opper, M.1    Winther, O.2
  • 11
    • 21844512278 scopus 로고
    • Mean-field equations for spin models with orthogonal interaction matrices
    • G. Parisi and M. Potters, Mean-Field Equations for Spin Models with Orthogonal Interaction Matrices, J. Phys. A: Math. Gen. 28 5267 (1995).
    • (1995) J. Phys. A: Math. Gen. , vol.28 , pp. 5267
    • Parisi, G.1    Potters, M.2
  • 12
    • 0001051762 scopus 로고
    • Convergence condition of the TAP equation for the infinite-range ising spin glass
    • T. Plefka, Convergence Condition of the TAP Equation for the Infinite-Range Ising Spin Glass, J. Phys. A 15, 1971 (1982).
    • (1982) J. Phys. A , vol.15 , pp. 1971
    • Plefka, T.1
  • 13
    • 84996241537 scopus 로고
    • Solution of a 'Solvable model of a spin glass'
    • D. J. Thouless, P. W. Anderson and R. G. Palmer, Solution of a 'Solvable Model of a Spin Glass', Phil. Mag. 35, 593 (1977).
    • (1977) Phil. Mag. , vol.35 , pp. 593
    • Thouless, D.J.1    Anderson, P.W.2    Palmer, R.G.3
  • 14
    • 84898974226 scopus 로고    scopus 로고
    • Computing with infinite networks
    • M. C. Mozer, M. I. Jordan and T. Petsche, eds. MIT Press
    • C. K. I. Williams, Computing with Infinite Networks, in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan and T. Petsche, eds., 295-301. MIT Press (1997).
    • (1997) Neural Information Processing Systems , vol.9 , pp. 295-301
    • Williams, C.K.I.1
  • 15
    • 85072768928 scopus 로고    scopus 로고
    • Gaussian processes for regression
    • D. S. Touretzky, M. C. Mozer and M. E. Hasselmo eds. MIT Press
    • C. K. I. Williams and C. E. Rasmussen, Gaussian Processes for Regression, in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer and M. E. Hasselmo eds., 514-520, MIT Press (1996).
    • (1996) Neural Information Processing Systems , vol.8 , pp. 514-520
    • Williams, C.K.I.1    Rasmussen, C.E.2
  • 16
    • 84956248948 scopus 로고
    • Microscopic equations and stability conditions in optimal neural networks
    • K. Y. M. Wong, Microscopic Equations and Stability Conditions in Optimal Neural Networks, Europhys. Lett. 30, 245 (1995).
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    • Wong, K.Y.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.