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Volumn , Issue , 2007, Pages 130-135

Combining active learning and relevance vector machines for text classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLASSIFICATION (OF INFORMATION); EDUCATION; FACE RECOGNITION; LEARNING SYSTEMS; ROBOT LEARNING; TEXT PROCESSING;

EID: 47349133763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.30     Document Type: Conference Paper
Times cited : (8)

References (22)
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  • 5
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  • 8
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    • M. Tipping, "Sparse Bayesian Learning and the Relevance Vector Machine", JMLR I, pp 211-214, 2001.
    • (2001) JMLR I , pp. 211-214
    • Tipping, M.1
  • 9
    • 33750550845 scopus 로고    scopus 로고
    • Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer
    • Proceedings of the 7th IDEAL
    • C. Silva, and B. Ribeiro, "Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer", Proceedings of the 7th IDEAL, LNCS, pp. 878-886, 2006.
    • (2006) LNCS , pp. 878-886
    • Silva, C.1    Ribeiro, B.2
  • 11
    • 47349124874 scopus 로고    scopus 로고
    • R. Johansson and P. Nugues, Sparse Bayesian Classification of Predicate Arguments, CoNLL-2005.
    • R. Johansson and P. Nugues, "Sparse Bayesian Classification of Predicate Arguments", CoNLL-2005.
  • 12
    • 33746057327 scopus 로고    scopus 로고
    • Active Learning with committees for text categorization
    • R. Liere, P. Tadepalii, "Active Learning with committees for text categorization", AAAI, 1997.
    • (1997) AAAI
    • Liere, R.1    Tadepalii, P.2
  • 13
    • 47349095513 scopus 로고    scopus 로고
    • A. K. McCallum, K. Nigam, Employing EM and pool-based active learning for text classification, Proceedings of 15th ICML, pp. 350-358, 1998.
    • A. K. McCallum, K. Nigam, "Employing EM and pool-based active learning for text classification", Proceedings of 15th ICML, pp. 350-358, 1998.
  • 14
    • 33846459827 scopus 로고    scopus 로고
    • Multi-criteria-based active learning for named entity recognition
    • Master's thesis, National University of Singapore
    • S. Dan, "Multi-criteria-based active learning for named entity recognition" Master's thesis, National University of Singapore, 2004.
    • (2004)
    • Dan, S.1
  • 15
    • 0005977840 scopus 로고    scopus 로고
    • Learning with labeled and unlabeled data
    • M. Seeger, "Learning with labeled and unlabeled data", tech. rep., 2001.
    • (2001) tech. rep
    • Seeger, M.1
  • 16
    • 11244279472 scopus 로고    scopus 로고
    • Learning from Partially Labeled Data
    • PhD thesis, MIT
    • M. Szummer, "Learning from Partially Labeled Data", PhD thesis, MIT, 2002.
    • (2002)
    • Szummer, M.1
  • 17
    • 33750569051 scopus 로고    scopus 로고
    • Classification of Text, Automatic
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    • F. Sebastiani, "Classification of Text, Automatic", The Encyclopedia of Language and Linguistics, In Keith Brown (ed.), Volume 14, 2nd Edition, Elsevier, 2006.
    • (2006) The Encyclopedia of Language and Linguistics , vol.14
    • Sebastiani, F.1
  • 18
    • 1542317646 scopus 로고    scopus 로고
    • A Scalability Analysis of Classifiers in Text Categorization
    • ACM Press, pp
    • Y. Yang, J. Zhang, B. Kisiel, "A Scalability Analysis of Classifiers in Text Categorization", SIGIR '03, ACM Press, pp. 96-103, 2003.
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  • 19
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  • 22
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    • Automatic Text Categorization and Its Application to Text Retrieval
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    • Ruiz, M.1    Srinivasan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.