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Volumn , Issue , 2010, Pages 345-350

Multi-class classification in the presence of labelling errors

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; MODEL BASED APPROACH; MODEL FREE; MULTI-CLASS CLASSIFICATION; MULTI-CLASS PROBLEMS; PARAMETER RECOVERY; REAL-WORLD; TRAINING SETS;

EID: 84887044903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 2
    • 67649389414 scopus 로고    scopus 로고
    • Robust supervised classification with mixture models: Learning from data with uncertain labels
    • Charles Bouveyron and Stephane Girard. Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognition, 42(11):2649-2658, 2009.
    • (2009) Pattern Recognition , vol.42 , Issue.11 , pp. 2649-2658
    • Bouveyron, C.1    Girard, S.2
  • 3
    • 70349980159 scopus 로고    scopus 로고
    • Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model
    • Chen Zhang, Chunguo Wu, Enrico Blanzieri, You Zhou, Yan Wang, Wei Du, and Yanchun Liang. Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. Bioinformatics, 25(20):2708-2714, 2009.
    • (2009) Bioinformatics , vol.25 , Issue.20 , pp. 2708-2714
    • Zhang, C.1    Chunguo, W.2    Blanzieri, E.3    Zhou, Y.4    Wang, Y.5    Wei, D.6    Liang, Y.7
  • 4
    • 77952009465 scopus 로고    scopus 로고
    • The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise
    • Yingtao Bi and Daniel R. Jeske. The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise. Journal of Multivarariate Analysis, 101(7):1622-1637, 2010.
    • (2010) Journal of Multivarariate Analysis , vol.101 , Issue.7 , pp. 1622-1637
    • Bi, Y.1    Jeske, D.R.2
  • 5
    • 0001385070 scopus 로고
    • Lachenbruch. Discriminant analysis when the initial samples are misclassified
    • Peter A. Lachenbruch. Discriminant analysis when the initial samples are misclassified. Technometrics, 8(4):657-662, 1966.
    • (1966) Technometrics , vol.8 , Issue.4 , pp. 657-662
    • Peter, A.1
  • 7
    • 84877758755 scopus 로고    scopus 로고
    • Decontamination of training samples for supervised pattern recognition methods
    • Springer Berlin/Heidelberg, Advances In Pattern Recognition
    • Ricardo Barandela and Eduardo Gasca. Decontamination of training samples for supervised pattern recognition methods. In Advances in Pattern Recognition, volume 1876 of Lecture Notes in Computer Science, pages 621-630. Springer Berlin/Heidelberg, 2000.
    • (2000) Lecture Notes In Computer Science , vol.1876 , pp. 621-630
    • Barandela, R.1    Gasca, E.2
  • 10
    • 34547697572 scopus 로고    scopus 로고
    • Classification in the presence of class noise using a probabilistic kernel fisher method
    • Yunlei Li, Lodewyk F.A. Wessels, Dick de Ridder, and Marcel J.T. Reinders. Classification in the presence of class noise using a probabilistic kernel fisher method. Pattern Recognition, 40(12):3349-3357, 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3349-3357
    • Li, Y.1    Wessels, L.F.A.2    de Ridder, D.3    Marcel, R.J.T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.