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Volumn 25, Issue 7, 2003, Pages 924-928

Class conditional density estimation using mixtures with constrained component sharing

Author keywords

Classification; Component sharing; Density estimation; EM algorithm; Mixture models

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DENSITY FUNCTION;

EID: 0041347630     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2003.1206521     Document Type: Article
Times cited : (14)

References (17)
  • 3
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Dept. of Computer and Information Sciences, Univ. of California, Irvine
    • C.L. Blake and C.J. Merz, "UCI Repository of Machine Learning Databases." Dept. of Computer and Information Sciences, Univ. of California, Irvine, 1998.
    • (1998)
    • Blake, C.L.1    Merz, C.J.2
  • 5
    • 0002629270 scopus 로고
    • Maximum likelihood estimation from incomplete data via the EM algorithm
    • A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum Likelihood Estimation from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc. B, vol. 39, pp. 1-38, 1977.
    • (1977) J. Royal Statistical Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 7
    • 0001551844 scopus 로고
    • Supervised learning from incomplete data via an EM approach
    • Mass.: MIT Press, D.J. Cowan, G. Tesauro, and J. Alspector, eds.
    • Z. Ghahramani and M.I. Jordan, "Supervised Learning From Incomplete Data Via an EM Approach," Neural Information Processing Systems 7, Mass.: MIT Press, D.J. Cowan, G. Tesauro, and J. Alspector, eds., vol. 6, pp. 120-127, 1994.
    • (1994) Neural Information Processing Systems 7 , vol.6 , pp. 120-127
    • Ghahramani, Z.1    Jordan, M.I.2
  • 9
    • 84898995489 scopus 로고    scopus 로고
    • Maximum conditional likelihood via bound maximization and the CEM algorithm
    • M. Kearns, S. Solla, Nad D. Cohn, eds.
    • T. Jebara and A. Pentland, "Maximum Conditional Likelihood Via Bound Maximization and the CEM Algorithm," Neural Information Processing Systems 11, M. Kearns, S. Solla, and D. Cohn, eds., 1998.
    • (1998) Neural Information Processing Systems 11
    • Jebara, T.1    Pentland, A.2
  • 10
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M.I. Jordan and R.A. Jacobs, "Hierarchical Mixtures of Experts and the EM Algorithm," Neural Computation, vol. 6, pp. 181-214, 1994.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 11
    • 0041955753 scopus 로고    scopus 로고
    • Comparing presequential model selection criteria in supervised learning of mixture models
    • T. Jaakola and T. Richardson, eds.
    • P. Kontkanen, P. Myllymaki, and H. Tirri, "Comparing Presequential Model Selection Criteria in Supervised Learning of Mixture Models," Proc. Eighth Int'l Workshop Artificial Intelligence and Statistics, T. Jaakola and T. Richardson, eds., pp. 233-238, 2001.
    • (2001) Proc. Eighth Int'l Workshop Artificial Intelligence and Statistics , pp. 233-238
    • Kontkanen, P.1    Myllymaki, P.2    Tirri, H.3
  • 13
    • 84898980291 scopus 로고    scopus 로고
    • A mixture of experts classifier with learning based on both labeled and unlabeled data
    • Mass.: MIT Press, M.C. Mozer, M.I. Jordan, and T. Petsche, eds.
    • D.J. Miller and H.S. Uyar, "A Mixture of Experts Classifier With Learning Based on Both Labeled and Unlabeled Data," Neural Information Processing Systems 9, Mass.: MIT Press, M.C. Mozer, M.I. Jordan, and T. Petsche, eds., 1996.
    • (1996) Neural Information Processing Systems 9
    • Miller, D.J.1    Uyar, H.S.2
  • 14
    • 0021404166 scopus 로고
    • Mixture densities, maximum likelihood and the EM algorithm
    • R. Redner and H. Walker, "Mixture Densities, Maximum Likelihood and the EM Algorithm," SIAM Rev., vol. 26, no. 2, pp. 195-239, 1984.
    • (1984) SIAM Rev. , vol.26 , Issue.2 , pp. 195-239
    • Redner, R.1    Walker, H.2
  • 15
    • 84898965722 scopus 로고    scopus 로고
    • Multiplicative updates for classification by mixture models
    • S. Becker, T. Dietterich, and Z. Ghahramani, eds.
    • L.K. Saul and D.D. Lee, "Multiplicative Updates for Classification by Mixture Models," Neural Information Processing Systems 14, S. Becker, T. Dietterich, and Z. Ghahramani, eds., 2002.
    • (2002) Neural Information Processing Systems 14
    • Saul, L.K.1    Lee, D.D.2
  • 16
    • 0035440306 scopus 로고    scopus 로고
    • Shared kernel models for class conditional density estimation
    • Sept.
    • M. Titsias and A. Likas, "Shared Kernel Models for Class Conditional Density Estimation," IEEE Trans. Neural Networks, vol. 12, no. 5, pp. 987-997, Sept. 2001.
    • (2001) IEEE Trans. Neural Networks , vol.12 , Issue.5 , pp. 987-997
    • Titsias, M.1    Likas, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.