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Volumn 26, Issue 1, 2000, Pages 133-140

Split and merge EM algorithm for improving Gaussian mixture density estimates

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMPRESSION; LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD ESTIMATION; MERGING; PROBABILITY DENSITY FUNCTION; SPURIOUS SIGNAL NOISE;

EID: 0034244838     PISSN: 09225773     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008155703044     Document Type: Article
Times cited : (40)

References (12)
  • 3
    • 85156248415 scopus 로고    scopus 로고
    • Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging
    • D.S. Touretzky, G. Tesauro and T.K. Leen (eds.), Cambridge MA: MIT Press
    • D. Ormoneit and V. Tresp, "Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging," in Advances in Neural Information Processing Systems 8, D.S. Touretzky, G. Tesauro and T.K. Leen (eds.), Cambridge MA: MIT Press, 1996, pp. 542-548.
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 542-548
    • Ormoneit, D.1    Tresp, V.2
  • 6
    • 85153928885 scopus 로고
    • Deterministic Annealing Variant of the EM Algorithm
    • D.S. Touretzky, G. Tesauro and T.K. Leen (eds.), Cambridge MA: MIT Press
    • N. Ueda and R. Nakano, "Deterministic Annealing Variant of the EM Algorithm," Advances in Neural Information Processing Systems 7, D.S. Touretzky, G. Tesauro and T.K. Leen (eds.), Cambridge MA: MIT Press, 1995, pp. 545-552.
    • (1995) Advances in Neural Information Processing Systems 7 , pp. 545-552
    • Ueda, N.1    Nakano, R.2
  • 7
    • 0032029288 scopus 로고    scopus 로고
    • Deterministic Annealing EM Algorithm
    • N. Ueda and R. Nakano, "Deterministic Annealing EM Algorithm," Neural Networks, vol. 11, 1998, pp. 271-282.
    • (1998) Neural Networks , vol.11 , pp. 271-282
    • Ueda, N.1    Nakano, R.2
  • 8
    • 0028607656 scopus 로고
    • A New Competitive Learning Approach Based on an Equidistortion Principle for Designing Optimal Vector Quantizers
    • N. Ueda and R. Nakano, "A New Competitive Learning Approach Based on an Equidistortion Principle for Designing Optimal Vector Quantizers," Neural Networks, vol. 7, no. 8, 1994, pp. 1211-1227.
    • (1994) Neural Networks , vol.7 , Issue.8 , pp. 1211-1227
    • Ueda, N.1    Nakano, R.2
  • 9
    • 0004191977 scopus 로고    scopus 로고
    • Mixtures of Probabilistic Principal Component Analysers
    • Aston Univ. Birmingham, UK
    • M.E. Tipping and C.M. Bishop, "Mixtures of Probabilistic Principal Component Analysers," Tech. Rep. NCRG-97-3, Aston Univ. Birmingham, UK, 1997.
    • (1997) Tech. Rep. NCRG-97-3
    • Tipping, M.E.1    Bishop, C.M.2
  • 10
    • 0003744820 scopus 로고    scopus 로고
    • The EM Algorithm for Mixtures of Factor Analyzers
    • Univ. of Toronto
    • Z. Ghahramani and G.E. Hinton, "The EM Algorithm for Mixtures of Factor Analyzers," Tech. Report CRG-TR-96-1, Univ. of Toronto, 1997. http://www.gatsby.ucl. ac.uk/∼zoubin/papers/tr-96-1.ps.gz.
    • (1997) Tech. Report CRG-TR-96-1
    • Ghahramani, Z.1    Hinton, G.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.