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1
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0023538945
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Generalization in Neural Networks: The Contiguity Problem
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San Diego
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T. Maxwell, C. L. Giles, and Y. C. Lee, “Generalization in Neural Networks: The Contiguity Problem,” inProceedings, IEEEInternational Conference on Neural Networks, San Diego(June 1987);
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(1987)
Proceedings, IEEE International Conference on Neural Networks
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Maxwell, T.1
Giles, C.L.2
Lee, Y.C.3
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3
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0022861840
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Transforme tion Invariance Using High Order Correlations in Neural Nc Architectures
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T. Maxwell, C. L. Giles, Y. C. Lee, and H. H. Chen, “Transforme tion Invariance Using High Order Correlations in Neural Nc Architectures,” IEEE Trans. Syst. Man Cybern. SMC 86CH2364-8, 627 (1986).
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IEEE Trans. Syst. Man Cybern. SMC 86CH2364-8
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Maxwell, T.1
Giles, C.L.2
Lee, Y.C.3
Chen, H.H.4
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4
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84901547461
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Nonlinea Dynamics of Artificial Neural Systems, AIP Conf
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T. Maxwell, C. L. Giles, Y. C. Lee, and H. H. Chen, “Nonlinea Dynamics of Artificial Neural Systems,” AIP Conf. Proc. 15. 299 (1986).
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Proc.
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Maxwell, T.1
Giles, C.L.2
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Chen, H.H.4
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5
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0013319704
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I Giles, “High Order Correlation Model for Associative Memory, AIP Conf
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H. H. Chen, Y. C. Lee, T. Maxwell, G. Z. Sun, H. Y. Lee, and C. I Giles, “High Order Correlation Model for Associative Memory, AIP Conf. Proc. 151, 86 (1986).
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(1986)
Proc
, vol.151
, pp. 86
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Chen, H.H.1
Lee, Y.C.2
Maxwell, T.3
Sun, G.Z.4
Lee, H.Y.5
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6
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84975570255
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H.YLee, and C. L. Giles, “Machine Learning Using a Higher Orde Correlation Network
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Y. C. Lee, G. Doolen, H. H. Chen, G. Z. Sun, T. Maxwell, H.YLee, and C. L. Giles, “Machine Learning Using a Higher Orde Correlation Network,” Physica D 22, 276 (1986).
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(1986)
Physica D
, vol.22
, pp. 276
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Lee, Y.C.1
Doolen, G.2
Chen, H.H.3
Sun, G.Z.4
Maxwell, T.5
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10
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84901517496
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Shift Invariance ii Optical Associative Memories
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D. Psaltis, J. Hong, and S. Venkatesh, “Shift Invariance ii Optical Associative Memories,” Proc. Soc. Photo-Opt. Instrum Eng. 625, 189 (1986);
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(1986)
Proc. Soc. Photo-Opt. Instrum Eng.
, vol.625
, pp. 189
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Psaltis, D.1
Hong, J.2
Venkatesh, S.3
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11
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0343037108
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Nonlineai Discriminant Functions and Associative Memories
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D. Psaltis and C. H. Park, “Nonlineai Discriminant Functions and Associative Memories,” AIP Conf Proc. 151, 370 (1986).
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AIP Conf Proc
, vol.151
, pp. 370
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Psaltis, D.1
Park, C.H.2
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12
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84975652751
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Optical Implementation of Associative Memory wit! Controlled Nonlinearity in the Correlation Domain
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R. A. Athale, H. H. Szu, C. B. Fried-lander, “Optical Implementation of Associative Memory wit! Controlled Nonlinearity in the Correlation Domain,” Optics Letters, vol. 11 #7, p 482 (1986).
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Optics Letters
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Athale, R.A.1
Szu, H.H.2
Fried-Lander, C.B.3
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13
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84975568520
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Holographic Associative Memorj with Nonlinearities in the Correlation Domain
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Y. Owechko, G. J. Dunning, E Maron, and B. H. Soffer, “Holographic Associative Memorj with Nonlinearities in the Correlation Domain,” Applied Optics, vol. 26 #10, p 1900 (1987).
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Applied Optics
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, pp. 1900
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Owechko, Y.1
Dunning, G.J.2
Maron, E.3
Soffer, B.H.4
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14
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84975550559
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Optical Higher Order Neural Networks for Invariant Pattern Recognition
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R. D. Griffin, C. L. Giles, J. N. Lee, T. Maxwell, and F. P. Pursel. “Optical Higher Order Neural Networks for Invariant Pattern Recognition,” presented at Optical Society of America Annual Meeting (Oct. 1987).
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(1987)
Optical Society of America Annual Meeting
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Griffin, R.D.1
Giles, C.L.2
Lee, J.N.3
Maxwell, T.4
Pursel, F.P.5
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16
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0020357019
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Dynamic Connections in Neural Networks
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J. A. Feldman, “Dynamic Connections in Neural Networks,” Biol. Cybern. 46, 27 (1982).
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Biol. Cybern
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Feldman, J.A.1
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17
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84973987198
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Cortical Connections and Parallel Processing: Structure and Function
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D. H. Ballard, “Cortical Connections and Parallel Processing: Structure and Function,” Behav. Brain Sci. 9, 67 (1986).
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Behav. Brain Sci
, vol.67
, pp. 9
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Ballard, D.H.1
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18
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0000646059
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Learning Internal Representations by Error Propagation
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D. E. Rumelhart and J. L. McClelland, MIT Press, Cambridge, MA
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D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning Internal Representations by Error Propagation,” Ch8inParallel Distributed Processing, vol 1., D. E. Rumelhart and J. L. McClelland, (MIT Press, Cambridge, MA, 1986).
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Parallel Distributed Processing
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, pp. 8
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Rumelhart, D.E.1
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19
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0002759961
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Higher-Order Boltzmann Machines
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T. J. Sejnowski, “Higher-Order Boltzmann Machines,” AIP Conf. Proc. 151, 398 (1986).
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Sejnowski, T.J.1
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20
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0017120827
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Adaptive Pattern Classification and Universal Recoding, I: Parallel Development and Coding of Neural Feature Detectors
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S. Grossberg, “Adaptive Pattern Classification and Universal Recoding, I: Parallel Development and Coding of Neural Feature Detectors,” Biol. Cybern. 23, 121 (1976);
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Feature Discovery by Competitive Learning
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Inductive Inference: Theory and Methods
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D. Angluin and C. H. Smith, “Inductive Inference: Theory and Methods,” ACM Comput. Surv. 15, 237 (1983).
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Angluin, D.1
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MIT Press, Cambridge, MA
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J. H. Holland, K. J. Holyoak, R. E. Nisbett, and P. R. Thagard, Induction(MIT Press, Cambridge, MA, 1986).
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Induction
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Holland, J.H.1
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25
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0022633119
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Long Term Memory Storage Capacity of Multiconnected Neural Networks
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P. Peretto and J. J. Niez, “Long Term Memory Storage Capacity of Multiconnected Neural Networks,” Biological Cybernetics54, p 53 (1986).
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Biological Cybernetics
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Peretto, P.1
Niez, J.J.2
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26
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84975535414
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Encoding Invariances in Higher Order Neural Networks
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Denver, Co
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C. L. Giles, R. D. Griffin, T. P. Maxwell, “Encoding Invariances in Higher Order Neural Networks,” presented at IEEE conf. onNeural Information Processing Systems-Naturaland Synthetic, Denver, Co. Nov. 1987.
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IEEE Conf. On Neural Information Processing Systems-Naturaland Synthetic
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Giles, C.L.1
Griffin, R.D.2
Maxwell, T.P.3
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