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Volumn 8073 LNAI, Issue , 2013, Pages 472-481

Borderline kernel based over-sampling

Author keywords

[No Author keywords available]

Indexed keywords

DECISION BOUNDARY; EMPIRICAL FEATURE SPACE; EUCLIDEAN SPACES; KERNEL CLASSIFIERS; KERNEL FUNCTION; MACHINE LEARNING COMMUNITIES; PRE-PROCESSING METHOD; SAMPLING METHOD;

EID: 84884912932     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40846-5_47     Document Type: Conference Paper
Times cited : (8)

References (19)
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    • Yan, F., Mikolajczyk, K., Kittler, J., Tahir, M.A.: Combining multiple kernels by augmenting the kernel matrix. In: El Gayar, N., Kittler, J., Roli, F. (eds.) MCS 2010. LNCS, vol. 5997, pp. 175-184. Springer, Heidelberg (2010)
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  • 9
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    • Sparse least squares support vector regressors trained in the reduced empirical feature space
    • de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. Springer, Heidelberg
    • Abe, S., Onishi, K.: Sparse least squares support vector regressors trained in the reduced empirical feature space. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol. 4669, pp. 527-536. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4669 , pp. 527-536
    • Abe, S.1    Onishi, K.2
  • 10
    • 74549191054 scopus 로고    scopus 로고
    • A unified framework for kernelization: The empirical kernel feature space
    • November
    • Xiong, H.: A unified framework for kernelization: The empirical kernel feature space. In: Chinese Conference on Pattern Recognition, CCPR, pp. 1-5 (November 2009)
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    • Xiong, H.1
  • 11
    • 27144501672 scopus 로고    scopus 로고
    • Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning
    • Advances in Intelligent Computing: International Conference on Intelligent Computing, ICIC 2005. Proceedings
    • Han, H., Wang, W.-Y., Mao, B.-H.: Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 878-887. Springer, Heidelberg (2005) (Pubitemid 41491129)
    • (2005) Lecture Notes in Computer Science , vol.3644 , Issue.PART I , pp. 878-887
    • Han, H.1    Wang, W.-Y.2    Mao, B.-H.3
  • 13
    • 76649113406 scopus 로고    scopus 로고
    • Improving SVM classification with imbalance data set
    • Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009, Part I. Springer, Heidelberg
    • Zeng, Z.-Q., Gao, J.: Improving SVM classification with imbalance data set. In: Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009, Part I. LNCS, vol. 5863, pp. 389-398. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5863 , pp. 389-398
    • Zeng, Z.-Q.1    Gao, J.2
  • 14
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    • Nonlinear component analysis as a kernel eigenvalue problem
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.