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Volumn 2, Issue , 2003, Pages 816-823

Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONFORMAL TRANSFORMATION (ACT) ALGORITHM; DATA SETS; IMBALANCED-DATA LEARNING; KERNEL FUNCTIONS; SUPPORT VECTOR MACHINES (SVM);

EID: 1942451958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (93)

References (22)
  • 1
    • 0032786569 scopus 로고    scopus 로고
    • Improving support vector machine classifiers by modifying kernel functions
    • Amari, S., & Wu, S. (1999). Improving support vector machine classifiers by modifying kernel functions. Neural Networks, 12, 783-789.
    • (1999) Neural Networks , vol.12 , pp. 783-789
    • Amari, S.1    Wu, S.2
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Machine Learning, 24, 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 4
    • 1942482069 scopus 로고    scopus 로고
    • Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach
    • Chan, P., & Stolfo, S. (1998). Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach. Workshop Notes KDD-98 Workshop on Distributed Data Mining, 1-9.
    • (1998) Workshop Notes KDD-98 Workshop on Distributed Data Mining , pp. 1-9
    • Chan, P.1    Stolfo, S.2
  • 8
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C., & Vapnik, V. (1995). Support vector networks. Machine Learning, 20, 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Dietterich, T., & Bakiri, G. (1995). Solving multiclass learning problems via error-correcting output codes. Journal of Artifical Intelligence Research, 2, 263-286.
    • (1995) Journal of Artifical Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.1    Bakiri, G.2
  • 18
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • Lin, Y., Lee, Y., & Wahba, G. (2002). Support vector machines for classification in nonstandard situations. Machine Learning, 46, 191-202.
    • (2002) Machine Learning , vol.46 , pp. 191-202
    • Lin, Y.1    Lee, Y.2    Wahba, G.3
  • 22
    • 0036469481 scopus 로고    scopus 로고
    • Conformal transformation of kernel functions: A data-dependent way to improve the performance of support vector machine classifiers
    • Wu, S., & Amari, S. (2002). Conformal transformation of kernel functions: A data-dependent way to improve the performance of support vector machine classifiers. Neural Processing Letter, 15.
    • (2002) Neural Processing Letter , pp. 15
    • Wu, S.1    Amari, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.