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Volumn 4507 LNCS, Issue , 2007, Pages 162-169

Improving the performance of the RBF neural networks trained with imbalanced samples

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHMS; COST FUNCTIONS; DATA MINING; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

EID: 38049120179     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73007-1_20     Document Type: Conference Paper
Times cited : (32)

References (8)
  • 1
    • 31344442851 scopus 로고    scopus 로고
    • Training cost-sensitive neural networks with methods addressing the class imbalance problem
    • Zhou, Z.H., Liu, X.Y.: Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data. Engineering 18, 63-77 (2006)
    • (2006) IEEE Transactions on Knowledge and Data. Engineering , vol.18 , pp. 63-77
    • Zhou, Z.H.1    Liu, X.Y.2
  • 2
    • 0001972236 scopus 로고    scopus 로고
    • Addressing the curse of imbalanced training sets: One-sided selection
    • Morgan Kaufmann, Washington
    • Kubat, M., Matwin, S.: Addressing the curse of imbalanced training sets: one-sided selection. In: Proc. 14th International Conference on Machine Learning, pp. 179-186. Morgan Kaufmann, Washington (1997)
    • (1997) Proc. 14th International Conference on Machine Learning , pp. 179-186
    • Kubat, M.1    Matwin, S.2
  • 3
    • 0027698884 scopus 로고
    • An improved algorithm for neural network classification of imbalanced training sets
    • Anand, R., Mehrotra, K., Mohan, C., Ranka, S.: An improved algorithm for neural network classification of imbalanced training sets. IEEE Transactions on Neural Networks 4, 962-969 (1993)
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 962-969
    • Anand, R.1    Mehrotra, K.2    Mohan, C.3    Ranka, S.4
  • 4
    • 0030688627 scopus 로고    scopus 로고
    • Training of neural networks for classification of imbalanced remote-sensing data
    • Bruzzone, L., Serpico, S.: Training of neural networks for classification of imbalanced remote-sensing data. In: IEEE Transactions on Geocience and Remote Sensing, pp. 1202-1204 (1997)
    • (1997) IEEE Transactions on Geocience and Remote Sensing , pp. 1202-1204
    • Bruzzone, L.1    Serpico, S.2
  • 5
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • Japkowicz, N., Stephen, S.: The class imbalance problem: a systematic study. Intelligent Data. Analysis 6, 429-449 (2002)
    • (2002) Intelligent Data. Analysis , vol.6 , pp. 429-449
    • Japkowicz, N.1    Stephen, S.2
  • 7
    • 0001924639 scopus 로고    scopus 로고
    • Neural network classification and unequal prior class probabilities
    • Orr, G, Müller, K.R, Caruana, R, eds, Neural Networks: Tricks of the Trade, Springer, Heidelberg
    • Lawrence, S., Burns, I., Back, A., Tsoi, A., Giles, C.L.: Neural network classification and unequal prior class probabilities. In: Orr, G., Müller, K.R., Caruana, R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 1524, pp. 299-314. Springer, Heidelberg (1998)
    • (1998) LNCS , vol.1524 , pp. 299-314
    • Lawrence, S.1    Burns, I.2    Back, A.3    Tsoi, A.4    Giles, C.L.5
  • 8
    • 0027800666 scopus 로고
    • Structured neural networks for the classification of multisensor remote-sensing images
    • Serpico, S., Roli, F., Pellegretti, P., Vemazza, G.: Structured neural networks for the classification of multisensor remote-sensing images. In: Int. Geosci. Remote Sensing Symp., pp. 907-909 (1993)
    • (1993) Int. Geosci. Remote Sensing Symp , pp. 907-909
    • Serpico, S.1    Roli, F.2    Pellegretti, P.3    Vemazza, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.