메뉴 건너뛰기




Volumn 34, Issue 4, 1998, Pages 485-494

About the maximum information and maximum likelihood principles in neural networks

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0347662716     PISSN: 00235954     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (33)
  • 1
    • 0000302918 scopus 로고
    • Towards a theory of early visual processing
    • J.J. Atick and A.N. Redlich: Towards a theory of early visual processing. Neural Computation 2 (1990), 308-320.
    • (1990) Neural Computation , vol.2 , pp. 308-320
    • Atick, J.J.1    Redlich, A.N.2
  • 2
    • 0000728115 scopus 로고
    • Some informational aspects of visual perception
    • F. Attneave: Some informational aspects of visual perception. Psychological Review 61 (1954), 183-193.
    • (1954) Psychological Review , vol.61 , pp. 183-193
    • Attneave, F.1
  • 3
    • 0026586030 scopus 로고
    • A self-organizing neural network that discovers surfaces in random-dot stereograms
    • S. Becker and G.E. Hinton: A self-organizing neural network that discovers surfaces in random-dot stereograms. Nature (London) 355 (1992), 161-163.
    • (1992) Nature (London) , vol.355 , pp. 161-163
    • Becker, S.1    Hinton, G.E.2
  • 4
    • 0000621802 scopus 로고
    • Multivariate functional interpolation and adaptive networks
    • D.S. Bromhead and D. Lowe: Multivariate functional interpolation and adaptive networks. Complex Systems 2 (1988), 321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Bromhead, D.S.1    Lowe, D.2
  • 5
    • 45149144372 scopus 로고
    • Nonlinear prediction of chaotic time-series
    • M. Casdagli: Nonlinear prediction of chaotic time-series. Physica 35D (1989), 335-356.
    • (1989) Physica , vol.35 D , pp. 335-356
    • Casdagli, M.1
  • 10
    • 0346692112 scopus 로고    scopus 로고
    • Design of multilayer neural networks by information preserving transforms
    • (E. Pessa, M.P. Penna and A. Montesanto, eds.), Edizzioni Kappa, Roma
    • J. Grim: Design of multilayer neural networks by information preserving transforms. In: Proceedings of the Third European Congress on System Science (E. Pessa, M.P. Penna and A. Montesanto, eds.), Edizzioni Kappa, Roma 1996, pp. 977-982,
    • (1996) Proceedings of the Third European Congress on System Science , pp. 977-982
    • Grim, J.1
  • 13
    • 0000761366 scopus 로고
    • A competitive modular connectionist architecture
    • (R.P. Lippmann, J.E. Moody and D.J. Touretzky, eds.), Morgan Kaufman, San Mateo CA
    • R.A. Jacobs, M.I. Jordan: A competitive modular connectionist architecture. In: Advances in Neural Information Processing Systems (R.P. Lippmann, J.E. Moody and D.J. Touretzky, eds.), Morgan Kaufman, San Mateo CA 1991, Vol. 3. pp. 767-773.
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 767-773
    • Jacobs, R.A.1    Jordan, M.I.2
  • 14
    • 0345000809 scopus 로고
    • Feature discovery under contextual supervision using mutual information
    • Baltimore MD
    • J. Kay: Feature discovery under contextual supervision using mutual information. In: International Joint Conference on Neural Networks, Baltimore MD 1992, Vol. 4, pp. 79-84.
    • (1992) International Joint Conference on Neural Networks , vol.4 , pp. 79-84
    • Kay, J.1
  • 16
    • 0023981750 scopus 로고
    • Self-organization in perceptual network
    • R. Linsker: Self-organization in perceptual network. Computer 21 (1988), 105-117.
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 17
    • 0025318244 scopus 로고
    • Perceptual neural organization: Some approaches based on network models and information theory
    • R. Linsker: Perceptual neural organization: Some approaches based on network models and information theory. Annual Review of Neuroscience 13 (1990), 257-281.
    • (1990) Annual Review of Neuroscience , vol.13 , pp. 257-281
    • Linsker, R.1
  • 19
    • 0000672424 scopus 로고
    • Fast learning in locally-tuned processing units
    • J. Moody and C. Darken: Fast learning in locally-tuned processing units. Neural Computation 1 (1989), 281-294.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 20
    • 0347952978 scopus 로고
    • A new method for generating statistical classifiers assuming linear mixtures of Gaussiian densities
    • IEEE Computer Society Press Jerusalem
    • H. CH. Palm: A new method for generating statistical classifiers assuming linear mixtures of Gaussiian densities. In: Proc. 12th IAPR Internat. Conference on Pattern Recognition, IEEE Computer Society Press Jerusalem 1994, Vol.II., pp. 483-486.
    • (1994) Proc. 12th IAPR Internat. Conference on Pattern Recognition , vol.2 , pp. 483-486
    • Palm, H.C.H.1
  • 21
    • 84889333851 scopus 로고
    • A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principle subspace
    • Brighton
    • M.D. Plumbley: A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principle subspace. In: IEE Artificial Neural Networks Conference, ANN-93, Brighton 1992, pp. 86-90.
    • (1992) IEE Artificial Neural Networks Conference , vol.ANN-93 , pp. 86-90
    • Plumbley, M.D.1
  • 22
    • 0346061389 scopus 로고
    • An information-theoretic approach to unsupervised connectionist models
    • (D. Touretzky, G. Hinton and T. Sejnowski, eds.), Morgan Kaufmann, San Mateo
    • M.D. Plumbley and F. Fallside: An information-theoretic approach to unsupervised connectionist models. In: Proceedings of the 1988 Connectionist Models Summer School, (D. Touretzky, G. Hinton and T. Sejnowski, eds.), Morgan Kaufmann, San Mateo 1988, pp. 239-245.
    • (1988) Proceedings of the 1988 Connectionist Models Summer School , pp. 239-245
    • Plumbley, M.D.1    Fallside, F.2
  • 23
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
    • T. Poggio and F. Girosi: Regularization algorithms for learning that are equivalent to multilayer networks. Science 247 (1990), 978-982.
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2
  • 25
    • 0024123401 scopus 로고
    • Probabilistic neural networks for classification, mapping or associative memory
    • D.F. Specht: Probabilistic neural networks for classification, mapping or associative memory. In: Proc. of the IEEE Internat. Conference on Neural Networks, 1988, Vol. I., pp. 525-532.
    • (1988) Proc. of the IEEE Internat. Conference on Neural Networks , vol.1 , pp. 525-532
    • Specht, D.F.1
  • 26
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • C.E. Shannon: A mathematical theory of communication. Bell System Tech. J. 27 (1948), 379-423, 623-656.
    • (1948) Bell System Tech. J. , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 27
    • 0028497290 scopus 로고
    • Maximum likelihood training of probabilistic neural networks
    • L.R. Streit and T.E. Luginbuhl: Maximum likelihood training of probabilistic neural networks. IEEE Trans. Neural Networks 5 (1994), 5, 764-783.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.5 , pp. 764-783
    • Streit, L.R.1    Luginbuhl, T.E.2
  • 28
    • 0346692055 scopus 로고    scopus 로고
    • Bayesian optimality of decisions is achievable by RBF neural networks
    • submitted
    • I. Vajda and J. Grim: Bayesian optimality of decisions is achievable by RBF neural networks. IEEE Trans. Neural Networks, submitted.
    • IEEE Trans. Neural Networks
    • Vajda, I.1    Grim, J.2
  • 29
    • 0029972719 scopus 로고    scopus 로고
    • A modular neural network for unhancement of errors-polar radar targets
    • A. Ukrainec and S. Haykin: A modular neural network for unhancement of errors-polar radar targets. Neural Networks 9 (1996), 141-168.
    • (1996) Neural Networks , vol.9 , pp. 141-168
    • Ukrainec, A.1    Haykin, S.2
  • 30
    • 0039214447 scopus 로고
    • The transmission of information and the effect of local feedback in theoretical and neural networks
    • A.M. Uttley: The transmission of information and the effect of local feedback in theoretical and neural networks. Brain Research 102 (1966), 23-35.
    • (1966) Brain Research , vol.102 , pp. 23-35
    • Uttley, A.M.1
  • 31
    • 0029306567 scopus 로고
    • Probabilistic design of layered neural networks based on their unified framework
    • S. Watanabe and K. Fukumizu: Probabilistic design of layered neural networks based on their unified framework. IEEE Trans. Neural Networks 6 (1995), 3, 691-702.
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.3 , pp. 691-702
    • Watanabe, S.1    Fukumizu, K.2
  • 32
    • 0010291089 scopus 로고
    • EM learning on a generalized finite mixture model for combining multiple classifiers
    • L. Xu and M.I. Jordan: EM learning on a generalized finite mixture model for combining multiple classifiers. In: World Congress on Neural Networks, 1993, Vol. 4, pp. 227-230.
    • (1993) World Congress on Neural Networks , vol.4 , pp. 227-230
    • Xu, L.1    Jordan, M.I.2
  • 33
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net and curve detection
    • L. Xu, A. Krzyzak and E. Oja: Rival penalized competitive learning for clustering analysis, RBF net and curve detection. IEEE Trans. Neural Networks 4 (1993), 636-649.
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 636-649
    • Xu, L.1    Krzyzak, A.2    Oja, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.