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Volumn , Issue , 2009, Pages

Training SpamAssassin with active semi-supervised learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); INTERNET; PATTERN RECOGNITION; SUPERVISED LEARNING;

EID: 84904815925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (19)
  • 1
    • 84864069202 scopus 로고    scopus 로고
    • Branch and bound for semi-supervised support vector machines
    • B. Schölkopf, J. Platt, and T. Hofmann, editors, MIT Press, Cambridge, MA
    • O. Chapelle, V. Sindhwani, and S. S. Keerthi. Branch and bound for semi-supervised support vector machines. In B. Schölkopf, J. Platt, and T. Hofmann, editors, Advances in Neural Information Processing Systems 19, pages 217-224. MIT Press, Cambridge, MA, 2007.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 217-224
    • Chapelle, O.1    Sindhwani, V.2    Keerthi, S.S.3
  • 2
    • 47649124190 scopus 로고    scopus 로고
    • Harnessing unlabeled examples through iterative application of dynamic markov modeling
    • Berlin, Germany
    • G. V. Cormack. Harnessing unlabeled examples through iterative application of dynamic markov modeling. In Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop, pages 10-15, Berlin, Germany, 2006.
    • (2006) Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop , pp. 10-15
    • Cormack, G.V.1
  • 3
    • 0001938951 scopus 로고    scopus 로고
    • 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.
    • (1999) Proceedings of the 16th International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 8
    • 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
  • 10
    • 84904806792 scopus 로고    scopus 로고
    • Online active learning methods for fast label-efficient spam filtering
    • Mountain View, CA
    • D. Sculley. Online active learning methods for fast label-efficient spam filtering. In Proceedings of the 4th Conference on Email and Anti-Spam, Mountain View, CA, 2007.
    • (2007) Proceedings of the 4th Conference on Email and Anti-Spam
    • Sculley, D.1
  • 12
    • 56449102315 scopus 로고    scopus 로고
    • On multi-view active learning and the combination with semi-supervised learning
    • Helsinki, Finland
    • W. Wang and Z.-H. Zhou. On multi-view active learning and the combination with semi-supervised learning. In Proceedings of the 25th International Conference on Machine Learning, pages 1152-1159, Helsinki, Finland, 2008.
    • (2008) Proceedings of the 25th International Conference on Machine Learning , pp. 1152-1159
    • Wang, W.1    Zhou, Z.-H.2
  • 15
    • 33746834100 scopus 로고    scopus 로고
    • Enhancing relevance feedback in image retrieval using unlabeled data
    • Z.-H. Zhou, K.-J. Chen, and H.-B. Dai. Enhancing relevance feedback in image retrieval using unlabeled data. ACM Transactions on Information Systems, 24(2):219-244, 2006.
    • (2006) ACM Transactions on Information Systems , vol.24 , Issue.2 , pp. 219-244
    • Zhou, Z.-H.1    Chen, K.-J.2    Dai, H.-B.3
  • 18
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • 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, 2006.
    • (2006) Technical Report 1530, Department of Computer Sciences
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.