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Volumn 20, Issue , 2011, Pages 315-330

Multi-label active learning with auxiliary learner

Author keywords

Active learning; Multi label classification; Query criteria; Support vector machine

Indexed keywords

ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; BINARY RELEVANCES; LOSS REDUCTION; MULTI-LABEL; MULTI-LABEL CLASSIFICATIONS; QUERY CRITERIA; STATE-OF-THE-ART APPROACH;

EID: 84876879173     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (26)
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    • Rcv1: A new benchmark collection for text categorization research
    • David D. Lewis, Yiming Yang, Tony G. Rose, and Fan Li. Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 9
    • 34548160247 scopus 로고    scopus 로고
    • A note on Platt's probabilistic outputs for support vector machines
    • Hsuan-Tien Lin, Chih-Jen Lin, and Ruby C. Weng. A note on Platt's probabilistic outputs for support vector machines. Journal of Machine Learning Research, 68:267-276, 2007.
    • (2007) Journal of Machine Learning Research , vol.68 , pp. 267-276
    • Lin, H.-T.1    Lin, C.-J.2    Weng, R.C.3
  • 19
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Simon Tong, Daphne Koller, and Pack Kaelbling. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:999-1006, 2000.
    • (2000) Journal of Machine Learning Research , vol.2 , pp. 999-1006
    • Tong, S.1    Koller, D.2    Kaelbling, P.3
  • 24
    • 0036613407 scopus 로고    scopus 로고
    • An active learning framework for content-based information retrieval
    • Cha Zhang and Tsuhan Chen. An active learning framework for content-based information retrieval. IEEE Transactions on Multimedia, 4:260-268, 2002.
    • (2002) IEEE Transactions on Multimedia , vol.4 , pp. 260-268
    • Zhang, C.1    Chen, T.2
  • 25
    • 33748366796 scopus 로고    scopus 로고
    • Multi-label neural networks with applications to functional genomics and text categorization
    • Min-Ling Zhang and Zhi-Hua Zhou. Multi-label neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering, 18: 1338 -1351, 2006.
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , pp. 1338-1351
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 26
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • Min-Ling Zhang and Zhi-Hua Zhou. ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognition, 40:2038-2048, 2007.
    • (2007) Pattern Recognition , vol.40 , pp. 2038-2048
    • Zhang, M.-L.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.