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Volumn 6352 LNCS, Issue PART 1, 2010, Pages 32-41

Neural networks regression inductive conformal predictor and its application to total electron content prediction

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE LEVELS; DATA SETS; REGRESSION NEURAL NETWORKS; TOTAL ELECTRON CONTENT;

EID: 78049406324     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15819-3_4     Document Type: Conference Paper
Times cited : (23)

References (22)
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    • Proedrou, K., Nouretdinov, I., Vovk, V., Gammerman, A.: Transductive confidence machines for pattern recognition. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) ECML 2002. LNCS (LNAI), vol. 2430, pp. 381-390. Springer, Heidelberg (2002)
    • (2002) LNCS (LNAI) , vol.2430 , pp. 381-390
    • Proedrou, K.1    Nouretdinov, I.2    Vovk, V.3    Gammerman, A.4
  • 4
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    • Inductive conformal prediction: Theory and application to neural networks
    • Fritzsche, P. ed.
    • Papadopoulos, H.: Inductive conformal prediction: Theory and application to neural networks. In: Fritzsche, P. (ed.) Tools in Artificial Intelligence, I-Tech, Vienna, Austria, pp. 315-330 (2008), http://intechweb.org/downloadpdf. php?id=5294
    • (2008) Tools in Artificial Intelligence, I-Tech, Vienna, Austria , pp. 315-330
    • Papadopoulos, H.1
  • 8
    • 33644631583 scopus 로고    scopus 로고
    • Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines
    • Bellotti, T., Luo, Z., Gammerman, A., Delft, F. W. V., Saha, V.: Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. International Journal of Neural Systems 15(4), 247-258 (2005)
    • (2005) International Journal of Neural Systems , vol.15 , Issue.4 , pp. 247-258
    • Bellotti, T.1    Luo, Z.2    Gammerman, A.3    Delft, F.W.V.4    Saha, V.5
  • 11
  • 12
    • 33846820421 scopus 로고    scopus 로고
    • An artificial neural network model for mountainous waterresources management: The case of cyprus mountainous watersheds
    • Iliadis, L. S., Maris, F.: An artificial neural network model for mountainous waterresources management: The case of cyprus mountainous watersheds. Environmental Modelling and Software 22(7), 1066-1072 (2007)
    • (2007) Environmental Modelling and Software , vol.22 , Issue.7 , pp. 1066-1072
    • Iliadis, L.S.1    Maris, F.2
  • 13
    • 57749194619 scopus 로고    scopus 로고
    • Radar target recognition using contourlet packet transform and neural network approach
    • Yang, S., Wang, M., Jiao, L.: Radar target recognition using contourlet packet transform and neural network approach. Signal Processing 89(4), 394-409 (2009)
    • (2009) Signal Processing , vol.89 , Issue.4 , pp. 394-409
    • Yang, S.1    Wang, M.2    Jiao, L.3
  • 14
    • 48949100105 scopus 로고    scopus 로고
    • Application of fuzzy t-norms towards a new artificial neural networks' evaluation framework: A case from wood industry
    • Iliadis, L. S., Spartalis, S., Tachos, S.: Application of fuzzy t-norms towards a new artificial neural networks' evaluation framework: A case from wood industry. Information Sciences 178(20), 3828-3839 (2008)
    • (2008) Information Sciences , vol.178 , Issue.20 , pp. 3828-3839
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  • 15
    • 84902237449 scopus 로고    scopus 로고
    • Inductive confidence machines for regression
    • Elomaa, T., Mannila, H., Toivonen, H. eds., ECML 2002. Springer, Heidelberg
    • Papadopoulos, H., Proedrou, K., Vovk, V., Gammerman, A.: Inductive confidence machines for regression. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) ECML 2002. LNCS (LNAI), vol. 2430, pp. 345-356. Springer, Heidelberg (2002)
    • (2002) LNCS (LNAI) , vol.2430 , pp. 345-356
    • Papadopoulos, H.1    Proedrou, K.2    Vovk, V.3    Gammerman, A.4
  • 18
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    • Regional reference total electron content model over japan based on neural network mapping techniques
    • Maruyama, T.: Regional reference total electron content model over japan based on neural network mapping techniques. Ann. Geophys. 25, 2609-2614 (2007)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.