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Volumn , Issue , 2013, Pages 906-911

Class noise detection by multiple voting

Author keywords

ensemble learning; noise detection; voting

Indexed keywords

BETTER PERFORMANCE; CONSENSUS VOTING; ENSEMBLE CLASSIFIERS; ENSEMBLE LEARNING; EXPERIMENTAL ANALYSIS; NOISE DETECTION; VOTING; VOTING MECHANISM;

EID: 84901756077     PISSN: 21579555     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2013.6818105     Document Type: Conference Paper
Times cited : (8)

References (15)
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  • 4
    • 0018923633 scopus 로고
    • Nosing around the neighborhood: A new system structure and classification rule for recognition in partial exposed environments
    • B.V. Dasarathy, Nosing around the neighborhood: a new system structure and classification rule for recognition in partial exposed environments, IEEE Trans. Pattern Anal. Mach. Intell. 2 (1980) 67-71.
    • (1980) IEEE Trans. Pattern Anal. Mach. Intell , vol.2 , pp. 67-71
    • Dasarathy, B.V.1
  • 6
    • 0016969272 scopus 로고
    • An experiment with edited nearest-neighbor rule
    • I. Tomek, An experiment with edited nearest-neighbor rule, IEEE Trans. Syst. Man Cybern. 6 (6) (1976) 448-452.
    • (1976) IEEE Trans. Syst. Man Cybern , vol.6 , Issue.6 , pp. 448-452
    • Tomek, I.1
  • 7
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest-neighbour rules using edited data
    • D.L. Wilson, Asymptotic properties of nearest-neighbour rules using edited data, IEEE Trans. Syst. Man Cybern. 2 (3) (1972) 408-421.
    • (1972) IEEE Trans. Syst. Man Cybern , vol.2 , Issue.3 , pp. 408-421
    • Wilson, D.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.