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Volumn 1, Issue , 2014, Pages 37-45

Disambiguation-free partial label learning

Author keywords

Classification; Error correcting output codes; Partially labeled data; Weakly supervised learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); ITERATIVE METHODS; VIRTUAL REALITY;

EID: 84919821396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611973440.5     Document Type: Conference Paper
Times cited : (29)

References (26)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Dec.
    • Allwein, E. L., Schapire, R. E., Singer, Y.: Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research l (Dec), 113-141 (2000)
    • (2000) Journal of Machine Learning Research , vol.1 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 2
    • 84879815802 scopus 로고    scopus 로고
    • Multiple instance classification: Review, taxonomy and comparative study
    • Amores, J.: Multiple instance classification: Review, taxonomy and comparative study. Artificial Intelligence 201, 81-105 (2013)
    • (2013) Artificial Intelligence , vol.201 , pp. 81-105
    • Amores, J.1
  • 3
    • 84886567160 scopus 로고    scopus 로고
    • School of Information and Computer Sciences, University of California, Irvine
    • Bache, K., Lichman, M.: UCI machine learning repository. School of Information and Computer Sciences, University of California, Irvine (2013). URL [http://archive.ics.uci.edu/ml]
    • (2013) UCI Machine Learning Repository
    • Bache, K.1    Lichman, M.2
  • 7
    • 58149109411 scopus 로고    scopus 로고
    • Mixture model estimation with soft labels
    • D. Dubois, M. A. Lubiano, H. Prade, M. A. Gil, P. Grzegorzewski, O. Hryniewicz eds., Springer, Berlin
    • Côme, E., Oukhellou, L., Denoeux, T., Aknin, P.: Mixture model estimation with soft labels. In: D. Dubois, M. A. Lubiano, H. Prade, M. A. Gil, P. Grzegorzewski, O. Hryniewicz (eds.) Advances in Soft Computing 48, pp. 165-174. Springer, Berlin (2008)
    • (2008) Advances in Soft Computing , vol.48 , pp. 165-174
    • Côme, E.1    Oukhellou, L.2    Denoeux, T.3    Aknin, P.4
  • 8
    • 54549108812 scopus 로고    scopus 로고
    • Learning from partially supervised data using mixture models and belief functions
    • Côme, E., Oukhellou, L., Denoeux, T., Aknin, P.: Learning from partially supervised data using mixture models and belief functions. Pattern Recognition 42(3), 334-348 (2009)
    • (2009) Pattern Recognition , vol.42 , Issue.3 , pp. 334-348
    • Côme, E.1    Oukhellou, L.2    Denoeux, T.3    Aknin, P.4
  • 11
    • 0000406788 scopus 로고
    • Solving multiclass learning problem via error-correcting output codes
    • Dietterich, T. G., Bakiri, G.: Solving multiclass learning problem via error-correcting output codes. Journal of Artificial Intelligence Research 2(1), 263-286 (1995)
    • (1995) Journal of Artificial Intelligence Research , vol.2 , Issue.1 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 12
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple-instance problem with axisparallel rectangles
    • Dietterich, T. G., Lathrop, R. H., Lozano-Pérez, T.: Solving the multiple-instance problem with axisparallel rectangles. Artificial Intelligence 89(1-2), 31-71 (1997)
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 13
    • 78449298214 scopus 로고    scopus 로고
    • Tech. rep., Center for Interuniversity Research and Analysis of Organizations, Québec, Canada
    • Grandvalet, Y., Bengio, Y.: Learning from partial labels with minimum entropy. Tech. rep., Center for Interuniversity Research and Analysis of Organizations, Québec, Canada (2004)
    • (2004) Learning from Partial Labels with Minimum Entropy
    • Grandvalet, Y.1    Bengio, Y.2
  • 14
    • 70450118721 scopus 로고    scopus 로고
    • Learning from ambiguously labeled examples
    • Hüllermeier, E., Beringer, J.: Learning from ambiguously labeled examples. Intelligent Data Analysis 10(5), 419-439 (2006)
    • (2006) Intelligent Data Analysis , vol.10 , Issue.5 , pp. 419-439
    • Hüllermeier, E.1    Beringer, J.2
  • 15
    • 85162034192 scopus 로고    scopus 로고
    • Learning from candidate labeling sets
    • J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta eds., MIT Press, Cambridge, MA
    • Jie, L., Orabona, F.: Learning from candidate labeling sets. vtIn: J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta (eds.) Advances in Neural Information Processing Systems 23, pp. 1504-1512. MIT Press, Cambridge, MA (2010)
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 1504-1512
    • Jie, L.1    Orabona, F.2
  • 16
    • 84899032037 scopus 로고    scopus 로고
    • Learning with multiple labels
    • S. Becker, S. Thrun, K. Obermayer eds., MIT Press, Cambridge, MA
    • Jin, R., Ghahramani, Z.: Learning with multiple labels. In: S. Becker, S. Thrun, K. Obermayer (eds.) Advances in Neural Information Processing Systems 15, pp. 897-904. MIT Press, Cambridge, MA (2003)
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 897-904
    • Jin, R.1    Ghahramani, Z.2
  • 17
    • 84893242727 scopus 로고    scopus 로고
    • A conditional multinomial mixture model for superset label learning
    • P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, K. Q. Weinberger eds., MIT Press, Cambridge, MA
    • Liu, L., Dietterich, T.: A conditional multinomial mixture model for superset label learning. In: P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, K. Q. Weinberger (eds.) Advances in Neural Information Processing Systems 25, pp. 557-565. MIT Press, Cambridge, MA (2012)
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 557-565
    • Liu, L.1    Dietterich, T.2
  • 19
    • 34948906283 scopus 로고    scopus 로고
    • An incremental node embedding technique for error correcting output codes
    • Pujol, O., Escalera, S., Radeva, P.: An incremental node embedding technique for error correcting output codes. Pattern Recognition 41(2), 713-725 (2008)
    • (2008) Pattern Recognition , vol.41 , Issue.2 , pp. 713-725
    • Pujol, O.1    Escalera, S.2    Radeva, P.3
  • 21
    • 26944470740 scopus 로고    scopus 로고
    • Partially supervised learning by a credal EM approach
    • L. Godo ed., Springer, Berlin
    • Vannoorenberghe, P., Smets, P.: Partially supervised learning by a credal EM approach. In: L. Godo (ed.) Lecture Notes in Computer Science 3571, pp. 956-967. Springer, Berlin (2005)
    • (2005) Lecture Notes in Computer Science , vol.3571 , pp. 956-967
    • Vannoorenberghe, P.1    Smets, P.2
  • 26
    • 67650272548 scopus 로고    scopus 로고
    • Introduction to semisupervised learning
    • R. J. Brachman, T. G. Dietterich eds., Morgan & Claypool Publishers, San Francisco, CA
    • Zhu, X., Goldberg, A. B.: Introduction to semisupervised learning. In: R. J. Brachman, T. G. Dietterich (eds.) Synthesis Lectures to Artificial Intelligence and Machine Learning, pp. 1-130. Morgan & Claypool Publishers, San Francisco, CA (2009)
    • (2009) Synthesis Lectures to Artificial Intelligence and Machine Learning , pp. 1-130
    • Zhu, X.1    Goldberg, A.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.