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Volumn 1857 LNCS, Issue , 2000, Pages 157-166

Combining multiple classifiers in probabilistic neural networks

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 0347000892     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45014-9_15     Document Type: Conference Paper
Times cited : (13)

References (18)
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  • 3
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  • 4
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    • Information approach to structural optimization of probabilistic neural networks
    • L. Ferrer et al. (Eds.) Valencia: Sociedad Espanola de Sistemas Generales, 1999
    • Grim J. (1999b): Information approach to structural optimization of probabilistic neural networks. In Proceedings of 4th System Science European Congress, L. Ferrer et al. (Eds.), (pp. 527-540), Valencia: Sociedad Espanola de Sistemas Generales, 1999.
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    • Grim, J.1
  • 5
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    • On virtually binary nature of probabilistic neural networks
    • (Proceedings of the IAPR International Workshops SSPR'98 and SPR'98), Sydney, August 11-13, 1998), A. Amin, D. Dori, P. Pudil, H. Freeman (Eds.) Springer: New York, Berlin, 1998
    • Grim J. & Pudil P., (1998): On virtually binary nature of probabilistic neural networks. In: Advances in Pattern Recognition, (Proceedings of the IAPR International Workshops SSPR'98 and SPR'98), Sydney, August 11-13, 1998), A. Amin, D. Dori, P. Pudil, H. Freeman (Eds.), (pp. 765-774), Springer: New York, Berlin, 1998.
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  • 6
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    • To be presented at the Berlin, 2000
    • Grim J., Pudil P., Somol P. (1999a): Recognition of handwritten numerals by structural probabilistic neural networks. (To be presented at the Int. Symp. on Neural Computation, Berlin, 2000).
    • (1999) Int. Symp. on Neural Computation
    • Grim, J.1    Pudil, P.2    Somol, P.3
  • 8
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    • Improving model accuracy using optimal linear combinations of trained neural networks
    • Hashem A., Schmeiser B., (1995): Improving model accuracy using optimal linear combinations of trained neural networks, IEEE Transactions on Neural Networks, vol. 6, no. 3, 792-794.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.3 , pp. 792-794
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  • 10
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    • Combining classifiers: A theoretical framework
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  • 13
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.