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Volumn 35, Issue 3, 2011, Pages 345-358

Identifying mislabeled training data with the aid of unlabeled data

Author keywords

Consensus filtering; Identifying mislabeled data; Majority filtering; Supervised learning; Unlabeled data

Indexed keywords

EMPIRICAL STUDIES; MISLABELED DATA; NOISE DETECTION; NOISE RATIO; TRAINING DATA; UNLABELED DATA;

EID: 84855443761     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-010-0225-4     Document Type: Article
Times cited : (47)

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    • DOI 10.1080/088395100117124
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  • 9
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    • Wilson, D.1
  • 14
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    • Improvements to Platt's SMO algorithm for SVM classifier design
    • DOI 10.1162/089976601300014493
    • Keerthi S, Shevade S, Bhattacharyya C, Murthy K (2001) Improvements to Platt's SMO algorithm for SVM classifier design. Neural Comput 13(3):637-649 (Pubitemid 33595014)
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  • 16
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    • Learning from noisy examples
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.