메뉴 건너뛰기




Volumn 57, Issue 19, 2012, Pages 2488-2491

Learnability of multi-instance multi-label learning

Author keywords

learnability; machine learning; multi instance multi label learning (MIML)

Indexed keywords


EID: 84862687840     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-012-5133-z     Document Type: Article
Times cited : (12)

References (12)
  • 1
    • 84864028262 scopus 로고    scopus 로고
    • Multi-instance multi-label learning with application to scene classification
    • B. Schölkopf, J. C. Platt, and T. Hoffman (Eds.), Vancouver, Canada: MIT Press, 2006 Dec 4-7
    • Zhou Z H, Zhang ML. Multi-instance multi-label learning with application to scene classification. In: Schölkopf B, Platt J C, Hoffman T, eds. Proceedings of the 20th Annual Conference on Neural Information Processing Systems, 2006 Dec 4-7, Vancouver, Canada: MIT Press, 2006. 1609-1616.
    • (2006) Proceedings of the 20th Annual Conference on Neural Information Processing Systems , pp. 1609-1616
    • Zhou, Z.H.1    Zhang, M.L.2
  • 2
    • 80955134248 scopus 로고    scopus 로고
    • Multi-instance multi-label learning
    • Zhou Z H, Zhang M L, Huang S J, et al. Multi-instance multi-label learning. Artif Intell, 2012, 176: 2291-2320.
    • (2012) Artif Intell , vol.176 , pp. 2291-2320
    • Zhou, Z.H.1    Zhang, M.L.2    Huang, S.J.3
  • 3
    • 67149122177 scopus 로고    scopus 로고
    • M3MIML: A maximum margin method for multi-instance multi-label learning
    • 2008 Dec 15-19, Pisa, Italy. IEEE Computer Society
    • Zhang M L, Zhou Z H. M3MIML: A maximum margin method for multi-instance multi-label learning. In: Proceedings of the 8th IEEE International Conference on Data Mining, 2008 Dec 15-19, Pisa, Italy. IEEE Computer Society, 2008. 688-697.
    • (2008) Proceedings of the 8th IEEE International Conference on Data Mining , pp. 688-697
    • Zhang, M.L.1    Zhou, Z.H.2
  • 5
    • 84863338235 scopus 로고    scopus 로고
    • Dirichlet-bernoulli alignment: A generative model for multi-class multi-label multi-instance corpora
    • In: Bengio Y, Schuurmans D, Lafferty J, et al., eds., 2009 Dec 7-10, Vancouver, Canada: MIT Press
    • Yang S H, Zha H, Hu B G. Dirichlet-bernoulli alignment: A generative model for multi-class multi-label multi-instance corpora. In: Bengio Y, Schuurmans D, Lafferty J, et al., eds. Proceedings of the 23th Annual Conference on Neural Information Processing Systems, 2009 Dec 7-10, Vancouver, Canada: MIT Press, 2009. 2143-2150.
    • (2009) Proceedings of the 23th Annual Conference on Neural Information Processing Systems , pp. 2143-2150
    • Yang, S.H.1    Zha, H.2    Hu, B.G.3
  • 6
    • 79951766505 scopus 로고    scopus 로고
    • A new SVM approach to multi-instance multi-label learning
    • In: Webb G I, Liu B, Zhang C, et al., eds., 2010 Dec 14-17, Sydney, Australia. IEEE Computer Society
    • Nguyen N. A new SVM approach to multi-instance multi-label learning. In: Webb G I, Liu B, Zhang C, et al., eds. Proceeding of the 10th IEEE International Conference on Data Mining, 2010 Dec 14-17, Sydney, Australia. IEEE Computer Society, 2010. 384-392.
    • (2010) Proceeding of the 10th IEEE International Conference on Data Mining , pp. 384-392
    • Nguyen, N.1
  • 7
    • 84455205895 scopus 로고    scopus 로고
    • Ensemble multi-instance multi-label learning approach for video annotation task
    • In: Candan K S, Panchanathan S, Prabhakaran B, et al., eds., 2011 Nov 28-Dec 1, Scottsdale, AZ. ACM
    • Xu X S, Xue X, Zhou Z H. Ensemble multi-instance multi-label learning approach for video annotation task. In: Candan K S, Panchanathan S, Prabhakaran B, et al., eds. Proceedings of the 19th ACM International Conference on Multimedia, 2011 Nov 28-Dec 1, Scottsdale, AZ. ACM, 2011. 1153-1156.
    • (2011) Proceedings of the 19th ACM International Conference on Multimedia , pp. 1153-1156
    • Xu, X.S.1    Xue, X.2    Zhou, Z.H.3
  • 8
    • 81455143767 scopus 로고    scopus 로고
    • Drosophila gene expression pattern annotation through multi-instance multi-label learning
    • Li Y X, Ji S, Kumar S, et al. Drosophila gene expression pattern annotation through multi-instance multi-label learning. IEEE ACM T Comput Bi, 2012, 9: 98-112.
    • (2012) IEEE ACM T Comput Bi , vol.9 , pp. 98-112
    • Li, Y.X.1    Ji, S.2    Kumar, S.3
  • 9
    • 84898078790 scopus 로고    scopus 로고
    • Homogenous multi-instance learning with arbitrary dependence
    • 2009 Jun 18-21, Quebec, Canada: Omnipress
    • Sabato S, Tishby N. Homogenous multi-instance learning with arbitrary dependence. In: Proceeding of the 22nd Annual Conference on Learning Theory, 2009 Jun 18-21, Quebec, Canada: Omnipress, 2009. 93-104.
    • (2009) Proceeding of the 22nd Annual Conference on Learning Theory , pp. 93-104
    • Sabato, S.1    Tishby, N.2
  • 10
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple-instance problem with axis-parallel rectangles
    • Dietterich T G, Lathrop R H, Lozano-Pérez T, et al. Solving the multiple-instance problem with axis-parallel rectangles. Artif Intell, 1997, 89: 31-71.
    • (1997) Artif Intell , vol.89 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 11
    • 77952349835 scopus 로고    scopus 로고
    • A review of multi-instance learning assumptions
    • Foulds J R, Frank E. A review of multi-instance learning assumptions. Knowl Eng Rev, 2010, 25: 1-25.
    • (2010) Knowl Eng Rev , vol.25 , pp. 1-25
    • Foulds, J.R.1    Frank, E.2
  • 12
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Schapire R E, Freund Y, Bartlett P, et al. Boosting the margin: A new explanation for the effectiveness of voting methods. Ann Stat, 1998, 26: 1651-1686.
    • (1998) Ann Stat , vol.26 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.