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Volumn 4099 LNAI, Issue , 2006, Pages 5-10

Learning with unlabeled data and its application to image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; LEARNING SYSTEMS;

EID: 33749557228     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11801603_3     Document Type: Conference Paper
Times cited : (39)

References (21)
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    • Hardoon, D.R.1    Szedmak, S.2    Shawe-Taylor, J.3
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    • Transductive inference for text classification using support vector machines
    • Bled, Slovenia
    • T. Joachims. Transductive inference for text classification using support vector machines. In Proceedings of the 16th International Conference on Machine Learning, pages 200-209, Bled, Slovenia, 1999.
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    • Joachims, T.1
  • 7
    • 84898980291 scopus 로고    scopus 로고
    • A mixture of experts classifier with learning based on both labelled and unlabelled data
    • M. Mozer, M. I. Jordan, and T. Petsche, editors. MIT Press, Cambridge, MA
    • D. J. Miller and H. S. Uyar. A mixture of experts classifier with learning based on both labelled and unlabelled data. In M. Mozer, M. I. Jordan, and T. Petsche, editors. Advances in Neural Information Processing Systems 9, pages 571-577. MIT Press, Cambridge, MA, 1997.
    • (1997) Advances in Neural Information Processing Systems 9 , pp. 571-577
    • Miller, D.J.1    Uyar, H.S.2
  • 9
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • K. Nigam, A. K. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2-3):103-134, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 12
    • 0028499630 scopus 로고
    • The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon
    • B. Shahshahani and D. Landgrebe. The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon. IEEE Transactions on Geoscience and Remote Sensing, 32(5):1087-1095, 1994.
    • (1994) IEEE Transactions on Geoscience and Remote Sensing , vol.32 , Issue.5 , pp. 1087-1095
    • Shahshahani, B.1    Landgrebe, D.2
  • 15
    • 0037708475 scopus 로고    scopus 로고
    • Relevance feedback in image retrieval: A comprehensive review
    • X. S. Zhou and T. S. Huang. Relevance feedback in image retrieval: a comprehensive review. Multimedia Systems, 8(6):536-544, 2003.
    • (2003) Multimedia Systems , vol.8 , Issue.6 , pp. 536-544
    • Zhou, X.S.1    Huang, T.S.2
  • 19
    • 28244448186 scopus 로고    scopus 로고
    • Tri-training: Exploiting unlabeled data using three classifiers
    • Z.-H. Zhou and M. Li, Tri-training: exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 17(11):1529-1541, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.11 , pp. 1529-1541
    • Zhou, Z.-H.1    Li, M.2
  • 21
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI
    • X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI, 2005. http://www.es.wisc.edu/~jerryzhu/pub/ssl.survey.pdf.
    • (2005) Technical Report , vol.1530
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.