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Volumn 45, Issue 2, 2012, Pages 876-883

Multilabel classifiers with a probabilistic thresholding strategy

Author keywords

Expected loss; Multilabel classification; Posterior probability; Thresholding strategies

Indexed keywords

CLASSIFICATION TASKS; LOSS FUNCTIONS; MULTI-LABEL; POSTERIOR PROBABILITY; THRESHOLDING;

EID: 80052965571     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.08.007     Document Type: Article
Times cited : (71)

References (19)
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    • Combining instance-based learning and logistic regression for multilabel classification
    • W. Cheng, and E. Hüllermeier Combining instance-based learning and logistic regression for multilabel classification Machine Learning 76 2009 211 225
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    • Cheng, W.1    Hüllermeier, E.2
  • 6
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • DOI 10.1016/j.patcog.2006.12.019, PII S0031320307000027
    • M. Zhang, and Z. Zhou ML-kNN: a lazy learning approach to multi-label learning Pattern Recognition 40 2007 2038 2048 (Pubitemid 46497248)
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 18
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demšar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30 (Pubitemid 43022939)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 19
    • 58149287952 scopus 로고    scopus 로고
    • An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons
    • S. García, and F. Herrera An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons Journal of Machine Learning Research 9 2008 2677 2694
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2677-2694
    • García, S.1    Herrera, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.