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Volumn 1, Issue , 2012, Pages 975-982

Semi-supervised collective classification via hybrid label regularization

Author keywords

[No Author keywords available]

Indexed keywords

COLLECTIVE CLASSIFICATIONS; DATA GRAPH; HYBRID CLASSIFIER; HYPERLINKS; LEARNING PROCESS; REAL DATA SETS; RELATIONAL FEATURES; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; UNLABELED DATA;

EID: 84867118277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (35)

References (17)
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  • 4
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    • Eldardiry, H. and Neville, J. Across-model collective ensemble classification. In Proc. of AAAI, 2011.
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  • 5
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    • Why collective inference improves relational classification
    • Jensen, D., Neville, J., and Gallagher, B. Why collective inference improves relational classification. In Proc. of KDD, pp. 593-598, 2004.
    • (2004) Proc. of KDD , pp. 593-598
    • Jensen, D.1    Neville, J.2    Gallagher, B.3
  • 7
    • 34249102504 scopus 로고    scopus 로고
    • Classification in networked data: A toolkit and a univariate case study
    • Macskassy, S. and Provost, F. Classification in networked data: A toolkit and a univariate case study. Journal of Machine Learning Research, 8:935-983, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 935-983
    • Macskassy, S.1    Provost, F.2
  • 8
    • 77949506891 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning with weakly labeled data
    • Mann, G. and McCallum, A. 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.1    McCallum, A.2
  • 9
    • 34547978786 scopus 로고    scopus 로고
    • Simple, robust, scalable semi-supervised learning via expectation regularization
    • Mann, G.S. and McCallum, A. Simple, robust, scalable semi-supervised learning via expectation regularization. In Proc. of ICML, pp. 593-600, 2007.
    • (2007) Proc. of ICML , pp. 593-600
    • Mann, G.S.1    McCallum, A.2
  • 13
    • 83055186952 scopus 로고    scopus 로고
    • Collective prediction with latent graphs
    • Shi, X., Li, Y., and Yu, P.S. Collective prediction with latent graphs. In Proc. of CIKM, pp. 1127-1136, 2011.
    • (2011) Proc. of CIKM , pp. 1127-1136
    • Shi, X.1    Li, Y.2    Yu, P.S.3
  • 14
    • 70350663106 scopus 로고    scopus 로고
    • Relational learning via latent social dimensions
    • Tang, L. and Liu, H. Relational learning via latent social dimensions. In Proc. of KDD, pp. 817-826, 2009.
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    • Tang, L.1    Liu, H.2
  • 15
    • 84880884400 scopus 로고    scopus 로고
    • Probabilistic classification and clustering in relational data
    • Taskar, B., Segal, E., and Koller, D. Probabilistic classification and clustering in relational data. In Proc. of IJCAI, pp. 870-878, 2001.
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  • 16
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    • Correcting bias in statistical tests for network classifier evaluation
    • Wang, T., Neville, J., Gallagher, B., and Eliassi-Rad, T. Correcting bias in statistical tests for network classifier evaluation. In Proc. of ECML, pp. 506-521, 2011.
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    • Pseudolikelihood EM for within-network relational learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.