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Volumn 3242, Issue , 2004, Pages 212-221

Evolutionary continuous optimization by distribution estimation with variational bayesian independent component analyzers mixture model

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; OPTIMIZATION; PROBLEM SOLVING;

EID: 34247192147     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30217-9_22     Document Type: Article
Times cited : (19)

References (20)
  • 1
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    • From Recombination of Genes to the Estimation of Distribution I. Binary Parameters
    • Voigt, H.-M. et al. (eds.): Parallel Problem Solving from Nature IV. Springer
    • Mühlenbein, H., Paaß, G.: From Recombination of Genes to the Estimation of Distribution I. Binary Parameters. In: Voigt, H.-M. et al. (eds.): Parallel Problem Solving from Nature IV. Lecture Notes in Computer Science, Vol. 1141. Springer (1996) 178-187
    • (1996) Lecture Notes in Computer Science , vol.1141 , pp. 178-187
    • Mühlenbein, H.1    Paaß, G.2
  • 2
  • 6
    • 84947922384 scopus 로고    scopus 로고
    • Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA
    • Schoenauer, M. et al (eds.): Lecture Notes in Computer Science, Springer
    • Bosman, P., Thierens, D.: Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. In: Schoenauer, M. et al (eds.): Parallel Problem Solving from Nature VI. Lecture Notes in Computer Science, Vol. 1917. Springer (2000) 767-776
    • (2000) Parallel Problem Solving from Nature VI , vol.1917 , pp. 767-776
    • Bosman, P.1    Thierens, D.2
  • 7
    • 0012479268 scopus 로고    scopus 로고
    • Latent Variable Models
    • Jordan, M.I. (ed.), The MIT Press
    • Bishop, C.M.: Latent Variable Models. In: Jordan, M.I. (ed.), Learning in Graphical Models. The MIT Press (1999) 371-403
    • (1999) Learning in Graphical Models , pp. 371-403
    • Bishop, C.M.1
  • 9
    • 0034870053 scopus 로고    scopus 로고
    • Continuous Estimation of Distribution Algorithms with Probabilistic Principal Component Analysis
    • Cho, D.-Y., Zhang, B.-T.: Continuous Estimation of Distribution Algorithms with Probabilistic Principal Component Analysis. In Proceedings of 2001 Congress on Evolutionary Computation, Vol. 1. (2001) 521-526
    • (2001) Proceedings of 2001 Congress on Evolutionary Computation , vol.1 , pp. 521-526
    • Cho, D.-Y.1    Zhang, B.-T.2
  • 11
    • 0011801706 scopus 로고    scopus 로고
    • Advancing Continuous IDEAs with Mixture Distributions and Factorization Selection Metrics
    • Bosman, P., Thierens, D.: Advancing Continuous IDEAs with Mixture Distributions and Factorization Selection Metrics. In Proceedings of the GECCO-2001 Workshop Program. (2001) 208-212
    • (2001) Proceedings of the GECCO-2001 Workshop Program , pp. 208-212
    • Bosman, P.1    Thierens, D.2
  • 12
    • 33846312199 scopus 로고    scopus 로고
    • Evolutionary Optimization by Distribution Estimation with Mixtures of Factor Analyzers
    • Cho, D.-Y., Zhang, B.-T.: Evolutionary Optimization by Distribution Estimation with Mixtures of Factor Analyzers. In Proceedings of 2002 Congress on Evolutionary Computation, Vol. 2. (2002) 1396-1401
    • (2002) Proceedings of 2002 Congress on Evolutionary Computation , vol.2 , pp. 1396-1401
    • Cho, D.-Y.1    Zhang, B.-T.2
  • 13
    • 34250360592 scopus 로고    scopus 로고
    • IDEAs Based on the Normal Kernels Probability Density Function
    • Utrecht University
    • Bosman, P., Thierens, D.: IDEAs Based on the Normal Kernels Probability Density Function. Technical Report, UU-CS-2000-11. Utrecht University (2002)
    • (2002) Technical Report, UU-CS-2000-11
    • Bosman, P.1    Thierens, D.2
  • 16
    • 0037270849 scopus 로고    scopus 로고
    • Variational Mixture of Bayesian Independent Component Analyzers
    • Choudrey, R.A., Roberts, S.J.: Variational Mixture of Bayesian Independent Component Analyzers. Neural Computation 15 (2003) 213-252
    • (2003) Neural Computation , vol.15 , pp. 213-252
    • Choudrey, R.A.1    Roberts, S.J.2
  • 17
    • 0033561886 scopus 로고    scopus 로고
    • Independent Factor Analysis
    • Attias, H.: Independent Factor Analysis. Neural Computation 11 (1999) 803-851
    • (1999) Neural Computation , vol.11 , pp. 803-851
    • Attias, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.