208 related articles for article (PubMed ID: 15901429)
1. Space complexity of estimation of distribution algorithms.
Gao Y; Culberson J
Evol Comput; 2005; 13(1):125-43. PubMed ID: 15901429
[TBL] [Abstract][Full Text] [Related]
2. Estimation of distribution algorithms with Kikuchi approximations.
Santana R
Evol Comput; 2005; 13(1):67-97. PubMed ID: 15901427
[TBL] [Abstract][Full Text] [Related]
3. Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks.
Peña JM; Lozano JA; Larrañaga P
Evol Comput; 2005; 13(1):43-66. PubMed ID: 15901426
[TBL] [Abstract][Full Text] [Related]
4. Drift and scaling in estimation of distribution algorithms.
Shapiro JL
Evol Comput; 2005; 13(1):99-123. PubMed ID: 15901428
[TBL] [Abstract][Full Text] [Related]
5. Using complexity for the estimation of Bayesian networks.
Salzman P; Almudevar A
Stat Appl Genet Mol Biol; 2006; 5():Article21. PubMed ID: 17049032
[TBL] [Abstract][Full Text] [Related]
6. The estimation of distributions and the minimum relative entropy principle.
Mühlenbein H; Höns R
Evol Comput; 2005; 13(1):1-27. PubMed ID: 15901422
[TBL] [Abstract][Full Text] [Related]
7. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
Shimamura T; Imoto S; Yamaguchi R; Miyano S
Genome Inform; 2007; 19():142-53. PubMed ID: 18546512
[TBL] [Abstract][Full Text] [Related]
8. Linkage problem, distribution estimation, and Bayesian networks.
Pelikan M; Goldberg DE; Cantú-Paz E
Evol Comput; 2000; 8(3):311-40. PubMed ID: 11001554
[TBL] [Abstract][Full Text] [Related]
9. H-CORE: enabling genome-scale Bayesian analysis of biological systems without prior knowledge.
Jung S; Lee KH; Lee D
Biosystems; 2007; 90(1):197-210. PubMed ID: 17005318
[TBL] [Abstract][Full Text] [Related]
10. Learning factorizations in estimation of distribution algorithms using affinity propagation.
Santana R; Larrañaga P; Lozano JA
Evol Comput; 2010; 18(4):515-46. PubMed ID: 20583913
[TBL] [Abstract][Full Text] [Related]
11. Using previous models to bias structural learning in the hierarchical BOA.
Hauschild MW; Pelikan M; Sastry K; Goldberg DE
Evol Comput; 2012; 20(1):135-60. PubMed ID: 22082253
[TBL] [Abstract][Full Text] [Related]
12. Latent-space variational bayes.
Sung J; Ghahramani Z; Bang SY
IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2236-42. PubMed ID: 18988955
[TBL] [Abstract][Full Text] [Related]
13. Linkage identification by fitness difference clustering.
Tsuji M; Munetomo M; Akama K
Evol Comput; 2006; 14(4):383-409. PubMed ID: 17109604
[TBL] [Abstract][Full Text] [Related]
14. Robust Bayesian clustering.
Archambeau C; Verleysen M
Neural Netw; 2007 Jan; 20(1):129-38. PubMed ID: 17011164
[TBL] [Abstract][Full Text] [Related]
15. Fitting a geometric graph to a protein-protein interaction network.
Higham DJ; Rasajski M; Przulj N
Bioinformatics; 2008 Apr; 24(8):1093-9. PubMed ID: 18344248
[TBL] [Abstract][Full Text] [Related]
16. Estimating the parameters of a model for protein-protein interaction graphs.
Deshmukh V; Cannings C; Thomas A
Math Med Biol; 2006 Dec; 23(4):279-95. PubMed ID: 16857705
[TBL] [Abstract][Full Text] [Related]
17. A greedy algorithm for supervised discretization.
Butterworth R; Simovici DA; Santos GS; Ohno-Machado L
J Biomed Inform; 2004 Aug; 37(4):285-92. PubMed ID: 15465481
[TBL] [Abstract][Full Text] [Related]
18. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
Cheon S; Liang F
Mol Phylogenet Evol; 2009 Nov; 53(2):394-403. PubMed ID: 19589389
[TBL] [Abstract][Full Text] [Related]
19. Bayesian A* tree search with expected O(N) node expansions: applications to road tracking.
Coughlan JM; Yuille AL
Neural Comput; 2002 Aug; 14(8):1929-58. PubMed ID: 12180408
[TBL] [Abstract][Full Text] [Related]
20. Hierarchical Bayesian sparse image reconstruction with application to MRFM.
Dobigeon N; Hero AO; Tourneret JY
IEEE Trans Image Process; 2009 Sep; 18(9):2059-70. PubMed ID: 19493849
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]