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Volumn , Issue , 2011, Pages 97-104

Large scale text classification using semi-supervised multinomial naive bayes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; EXPECTATION MAXIMIZATION; FREQUENCY ESTIMATES; LABELED TRAINING DATA; LOG LIKELIHOOD; MULTINOMIALS; NAIVE BAYES; PREDICTION PERFORMANCE; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING METHODS; TEXT CLASSIFICATION; UNLABELED DOCUMENTS;

EID: 80053456712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (73)

References (10)
  • 1
    • 27344454215 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data: An empirical study across techniques and domains
    • Chawla, Nitesh V. and Karakoulas, Grigoris J. Learning from labeled and unlabeled data: An empirical study across techniques and domains. J. Artif. Intell. Res. (JAIR), 23:331-366, 2005.
    • (2005) J. Artif. Intell. Res. (JAIR) , vol.23 , pp. 331-366
    • Chawla, N.V.1    Karakoulas, G.J.2
  • 3
    • 33750711226 scopus 로고    scopus 로고
    • Learning from little: Comparison of classifiers given little training
    • Forman, G. and Cohen, I. Learning from little: Comparison of classifiers given little training. In Proceeding of PKDD2004, pp. 161-172. 2004.
    • (2004) Proceeding of PKDD2004 , pp. 161-172
    • Forman, G.1    Cohen, I.2
  • 5
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis, David D., Yang, Yiming, Rose, Tony G., and Li, Fan. 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
  • 6
    • 77949506891 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning with weakly labeled data
    • Mann, Gideon S. and McCallum, Andrew. Generalized expectation criteria for semi-supervised learning with weakly labeled data. Journal of Machine Learning Research, 11:955-984, 2010.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 955-984
    • Mann, G.S.1    McCallum, A.2
  • 8
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
    • Andrew. N. Ng and M. Jordan, Cambridge, MA: MIT Press, 2002
    • Ng, A. and Jordan, M. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In Andrew. N. Ng and M. Jordan, in Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press, 2002., 2002.
    • (2002) Advances in Neural Information Processing Systems , pp. 14
    • Ng, A.1    Jordan, M.2
  • 9
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, Kamal, McCallum, Andrew, Thrun, Sebastian, and Mitchell, Tom M. 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.2    Thrun, S.3    Mitchell, T.M.4
  • 10
    • 33745456231 scopus 로고    scopus 로고
    • Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
    • Zhu, Xiaojin. Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2008.
    • (2008) Semi-supervised Learning Literature Survey
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.