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Volumn 7, Issue 3, 1996, Pages 788-792

Local linear perceptrons for classification

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CALCULATIONS; CHARACTER RECOGNITION; FUNCTIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PIECEWISE LINEAR TECHNIQUES;

EID: 0030142134     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.501737     Document Type: Article
Times cited : (59)

References (15)
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    • Product units: A computationally powerful and biologically plausible extension to backpropagation networks
    • R. Durbin and D. E. Rumelhart, "Product units: A computationally powerful and biologically plausible extension to backpropagation networks," Neural Computa., vol. 1, pp. 133-142, 1989.
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    • Durbin, R.1    Rumelhart, D.E.2
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    • Connectionist architectures for multispeaker phoneme recognition
    • D. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann
    • J. B. Hampshire, II and A. Waibel, "Connectionist architectures for multispeaker phoneme recognition," in Advances in Neural Information Processing Systems, vol. 2, D. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, pp. 203-210.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 203-210
    • Hampshire II, J.B.1    Waibel, A.2
  • 5
    • 0000796382 scopus 로고
    • Exploiting neurons with localized receptive fields to learn chaos
    • K. Stokbro, D. K. Umberger, and J. A. Hertz, "Exploiting neurons with localized receptive fields to learn chaos," Complex Syst., vol. 4, pp. 603-622, 1990.
    • (1990) Complex Syst. , vol.4 , pp. 603-622
    • Stokbro, K.1    Umberger, D.K.2    Hertz, J.A.3
  • 7
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M. I. Jordan and R. A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm," Neural Computa., vol. 6, pp. 181-214, 1994.
    • (1994) Neural Computa. , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 8
    • 0000876414 scopus 로고
    • Local learning algorithms
    • L. Bottou and V. Vapnik, "Local learning algorithms," Neural Computa., vol. 4, pp. 888-900, 1992.
    • (1992) Neural Computa. , vol.4 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 9
    • 0027632248 scopus 로고
    • 'Neural-gas' network for vector quantization and its application to time-series prediction
    • T. M. Martinetz, S. G. Berkovich, and K. J. Schulten, "'Neural-gas' network for vector quantization and its application to time-series prediction," IEEE Trans. Neural Networks, vol. 4, 558-569, 1993.
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 558-569
    • Martinetz, T.M.1    Berkovich, S.G.2    Schulten, K.J.3
  • 10
    • 0024867680 scopus 로고
    • Topology-conserving maps for learning visuomotor coordination
    • H. Ritter, T. Martinetz, and K. Schulten, "Topology-conserving maps for learning visuomotor coordination," Neural Networks, vol. 2, pp. 159-168, 1988.
    • (1988) Neural Networks , vol.2 , pp. 159-168
    • Ritter, H.1    Martinetz, T.2    Schulten, K.3
  • 12
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    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • F. Fogelman-Soulié and J. Hérault, Eds. Berlin: Springer-Verlag
    • J. S. Bridle, "Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition," in Neurocomputing, F. Fogelman-Soulié and J. Hérault, Eds. Berlin: Springer-Verlag, 1990, pp. 227-236.
    • (1990) Neurocomputing , pp. 227-236
    • Bridle, J.S.1
  • 13
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    • Neural networks and related methods for classification
    • B. D. Ripley, "Neural networks and related methods for classification," J. Roy. Statist. Soc. B, vol. 56, pp. 409-456, 1994.
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    • Ripley, B.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.