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Volumn 22, Issue , 2012, Pages 109-117

CorrLog: Correlated logistic models for joint prediction of multiple labels

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84873572408     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (25)
  • 1
    • 0014841634 scopus 로고
    • Multi-variate probit analysis
    • Ashford, J., Sowden, R., 1970. Multi-variate probit analysis. Biometrics 26, 535-546.
    • (1970) Biometrics , vol.26 , pp. 535-546
    • Ashford, J.1    Sowden, R.2
  • 2
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck, A., Teboulle, M., 2009. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Img. Sci. 2, 183-202.
    • (2009) SIAM J. Img. Sci. , vol.2 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 4
    • 29644434908 scopus 로고    scopus 로고
    • Incremental algorithms for hierarchical classification
    • Bianchi, N. C., Gentile, C., Zaniboni, L., 2006. Incremental algorithms for hierarchical classification. JMLR 7, 31-54.
    • (2006) JMLR , vol.7 , pp. 31-54
    • Bianchi, N.C.1    Gentile, C.2    Zaniboni, L.3
  • 8
    • 68949141664 scopus 로고    scopus 로고
    • Combining instance-based learning and logistic regression for multilabel classification
    • Cheng, W., Hullermeier, E., 2009. Combining instance-based learning and logistic regression for multilabel classification. Machine Learning 76 (2-3), 211-225.
    • (2009) Machine Learning , vol.76 , Issue.2-3 , pp. 211-225
    • Cheng, W.1    Hullermeier, E.2
  • 13
    • 77956528679 scopus 로고    scopus 로고
    • Multi-label prediction via compressed sensing
    • Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. K. I., Culotta, A. (Eds.)
    • Hsu, D., Kakade, S., Langford, J., Zhang, T., 2009. Multi-label prediction via compressed sensing. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. K. I., Culotta, A. (Eds.), Advances in Neural Information Processing Systems 22. pp. 772-780.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 772-780
    • Hsu, D.1    Kakade, S.2    Langford, J.3    Zhang, T.4
  • 17
    • 85162000125 scopus 로고    scopus 로고
    • Reverse multi-label learning
    • Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R., Culotta, A. (Eds.)
    • Petterson, J., Caetano, T., 2010. Reverse multi-label learning. In: Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R., Culotta, A. (Eds.), Advances in Neural Information Processing Systems 23. pp. 1912-1920.
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 1912-1920
    • Petterson, J.1    Caetano, T.2
  • 18
    • 77951455815 scopus 로고    scopus 로고
    • High-dimensional ising model selection using l 1-regularized logistic regression
    • Ravikumar, P., Wainwright, M. J., Lafferty, J. D., 2010. High-dimensional ising model selection using l 1-regularized logistic regression. Annals of Statistics 38, 1287-1319.
    • (2010) Annals of Statistics , vol.38 , pp. 1287-1319
    • Ravikumar, P.1    Wainwright, M.J.2    Lafferty, J.D.3
  • 21
    • 34547987363 scopus 로고    scopus 로고
    • Piecewise pseu-dolikelihood for efficient training of conditional random fields
    • Sutton, C. A., Mccallum, A., 2007. Piecewise pseu-dolikelihood for efficient training of conditional random fields. In: International Conference on Machine Learning. pp. 863-870.
    • (2007) International Conference on Machine Learning , pp. 863-870
    • Sutton, C.A.1    Mccallum, A.2
  • 25
    • 33947681316 scopus 로고    scopus 로고
    • Ml-knn: Alazylearn-ing approach to multi-label learning
    • Zhang, M. L., Zhou, Z. H., 2007. Ml-knn: Alazylearn-ing approach to multi-label learning. Pattern Recognition 40 (7), 2038-2048.
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.L.1    Zhou, Z.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.