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Volumn 29, Issue , 2013, Pages 197-212

Multi-label classification with unlabeled data: An inductive approach

Author keywords

Multi label learning; Semi supervised learning; Unlabeled data

Indexed keywords

MULTI-LABEL CLASSIFICATIONS; MULTI-LABEL LEARNING; SEMI- SUPERVISED LEARNING; UNLABELED DATA;

EID: 84908480402     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (21)
  • 4
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    • A kernel method for multi-labelled classification
    • T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, MIT Press, Cambrige, MA
    • A. Elisseeff and J. Weston. A kernel method for multi-labelled classification. In T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 681-687. MIT Press, Cambrige, MA, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 681-687
    • Elisseeff, A.1    Weston, J.2
  • 8
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • San Francisco, CA
    • T. Joachims. Transductive inference for text classification using support vector machines. In Proceedings of 16th International Conference on Machine Learning, pages 200-209, San Francisco, CA, 1999.
    • (1999) Proceedings of 16th International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 10
    • 83155175374 scopus 로고    scopus 로고
    • Classifier chains for multi-label classification
    • J. Read, B. Pfahringer, G. Holmes, and E. Frank. Classifier chains for multi-label classification. Machine Learning, 85(3):333-359, 2011.
    • (2011) Machine Learning , vol.85 , Issue.3 , pp. 333-359
    • Read, J.1    Pfahringer, B.2    Holmes, G.3    Frank, E.4
  • 14
    • 79958844204 scopus 로고    scopus 로고
    • A transductive multi-label learning approach for video concept detection
    • J.-D. Wang, Y.-H. Zhao, X.-Q. Wu, and X.-S. Hua. A transductive multi-label learning approach for video concept detection. Pattern Recognition, 44(10):2274-2286, 2011.
    • (2011) Pattern Recognition , vol.44 , Issue.10 , pp. 2274-2286
    • Wang, J.-D.1    Zhao, Y.-H.2    Wu, X.-Q.3    Hua, X.-S.4
  • 16
    • 33947681316 scopus 로고    scopus 로고
    • Ml-knn: A lazy learning approach to multi-label learning
    • M.-L. Zhang and Z.-H. Zhou. Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition, 40(7):2038-2048, 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.-L.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.