메뉴 건너뛰기




Volumn , Issue , 2004, Pages 265-272

Aligning boundary in kernel space for learning imbalanced dataset

Author keywords

[No Author keywords available]

Indexed keywords

DATASETS; KERNEL SPACE; KERNEL-BOUNDARY-ALIGNMENT ALGORITHM; SUPPORT VECTOR MACHINES (SVM);

EID: 19544377810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4028/www.scientific.net/KEM.274-276.265     Document Type: Conference Paper
Times cited : (32)

References (25)
  • 1
    • 0032786569 scopus 로고    scopus 로고
    • Improving support vector machine classifiers by modifying kernel functions
    • S. Amari and S. Wu. Improving support vector machine classifiers by modifying kernel functions. Neural Networks, 12(6):783-789, 1999.
    • (1999) Neural Networks , vol.12 , Issue.6 , pp. 783-789
    • Amari, S.1    Wu, S.2
  • 2
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the roc curve in the evaluation of machine learning algorithms
    • A. P. Bradley. The use of the area under the roc curve in the evaluation of machine learning algorithms. Pattern Recognition, 30:1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24:123-140, 1996.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 5
    • 1942482069 scopus 로고    scopus 로고
    • Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach
    • P. Chan and S. Stolfo. Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach. Workshop Notes KDD-98 Workshop on Distributed Data Mining, pages 1-9, 1998.
    • (1998) Workshop Notes KDD-98 Workshop on Distributed Data Mining , pp. 1-9
    • Chan, P.1    Stolfo, S.2
  • 9
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artifical Intelligence Research, 2:263-286, 1995.
    • (1995) Journal of Artifical Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.1    Bakiri, G.2
  • 17
    • 19544365686 scopus 로고
    • Proc. 2nd Berkeley Syrup, on Mathematical Statistics and Probability, Univ. Calif. Press
    • H. W. Kuhn and A. W. Tucker. Non-linear programming. Proc. 2nd Berkeley Syrup, on Mathematical Statistics and Probability, Univ. Calif. Press, 1961.
    • (1961) Non-linear Programming
    • Kuhn, H.W.1    Tucker, A.W.2
  • 18
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • Y. Lin, Y. Lee, and G. Wahba. Support vector machines for classification in nonstandard situations. Machine Learning, 46:191-202, 2002.
    • (2002) Machine Learning , vol.46 , pp. 191-202
    • Lin, Y.1    Lee, Y.2    Wahba, G.3
  • 19
    • 0036630282 scopus 로고    scopus 로고
    • A solution for imbalanced training sets problem by combnet-ii and its application on fog forecasting
    • July
    • A. Nugroho, S. Kuroyanagi, and A. Iwata. A solution for imbalanced training sets problem by combnet-ii and its application on fog forecasting. IEICE Transaction on Information and Systems, E85-D(7):1165-1174, July 2002.
    • (2002) IEICE Transaction on Information and Systems , vol.E85-D , Issue.7 , pp. 1165-1174
    • Nugroho, A.1    Kuroyanagi, S.2    Iwata, A.3
  • 24
    • 84860940679 scopus 로고    scopus 로고
    • Kernel boundary alignment for imbalanced-data training
    • May
    • G. Wu and E. Y. Chang. Kernel boundary alignment for imbalanced-data training. Technical report, http://mmdb.ece.ucsb.edu/~gangwu/Papers/kba.pdf, May 2004.
    • (2004) Technical Report
    • Wu, G.1    Chang, E.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.