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Volumn 5517 LNCS, Issue PART 1, 2009, Pages 122-130

Improving classification under changes in class and within-class distributions

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE METHODS; CLASS DISTRIBUTIONS; DATA DENSITY; ESTIMATION ALGORITHM; OPERATIONAL DATA; POOR PERFORMANCE;

EID: 68749099982     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_16     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 2
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    • Growing gaussian mixtures network for classification applications
    • Alba, J., Docio, L., Docampo, D., Marquez, O.: Growing gaussian mixtures network for classification applications. Signal Process 76(1), 43-60 (1999)
    • (1999) Signal Process , vol.76 , Issue.1 , pp. 43-60
    • Alba, J.1    Docio, L.2    Docampo, D.3    Marquez, O.4
  • 3
    • 23044459586 scopus 로고    scopus 로고
    • A model selection algorithm for a posteriori probability estimation with neural networks
    • Arribas, J.I., Cid-Sueiro, J.: A model selection algorithm for a posteriori probability estimation with neural networks. IEEE Transactions on Neural Networks 16(4), 799-809 (2005)
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.4 , pp. 799-809
    • Arribas, J.I.1    Cid-Sueiro, J.2
  • 4
    • 14844357975 scopus 로고    scopus 로고
    • A response to webb and ting's on the application of roc analysis to predict classification performance under varying class distributions
    • Flawcett, T., Flach, P.: A response to webb and ting's on the application of roc analysis to predict classification performance under varying class distributions. Machine Learning 58, 33-38 (2005)
    • (2005) Machine Learning , vol.58 , pp. 33-38
    • Flawcett, T.1    Flach, P.2
  • 5
    • 33745903917 scopus 로고    scopus 로고
    • Elaboration on two points raised in classifier technology and the illusion of progress
    • Holte, R.: Elaboration on two points raised in classifier technology and the illusion of progress. Statistical Science 21(1) (2006)
    • (2006) Statistical Science , vol.21 , Issue.1
    • Holte, R.1
  • 6
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification systems for imprecise environments
    • Provost, F., Fawcett, T.: Robust classification systems for imprecise environments. Machine Learning 42(3), 203-231 (2001)
    • (2001) Machine Learning , vol.42 , Issue.3 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 7
    • 0036134369 scopus 로고    scopus 로고
    • Adjusting a classifier for new a priori probabilities: A simple procedure
    • Saerens, M., Latinne, P., Decaestecker, C.: Adjusting a classifier for new a priori probabilities: A simple procedure. Neural Computation 14, 21-41 (2002)
    • (2002) Neural Computation , vol.14 , pp. 21-41
    • Saerens, M.1    Latinne, P.2    Decaestecker, C.3
  • 9
    • 14844366200 scopus 로고    scopus 로고
    • On the application of roc analysis to predict classification performance under varying class distributions
    • Webb, G., Ting, K.: On the application of roc analysis to predict classification performance under varying class distributions. Machine Learning 58(1), 25-32 (2005)
    • (2005) Machine Learning , vol.58 , Issue.1 , pp. 25-32
    • Webb, G.1    Ting, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.