117 related articles for article (PubMed ID: 7799819)
21. Bayesian statistical methods in public health and medicine.
Etzioni RD; Kadane JB
Annu Rev Public Health; 1995; 16():23-41. PubMed ID: 7639872
[TBL] [Abstract][Full Text] [Related]
22. An ontological approach for the development of shareable guidelines.
de Clercq PA
Proc AMIA Symp; 2000; ():166-70. PubMed ID: 11079866
[TBL] [Abstract][Full Text] [Related]
23. Measuring uncertainty in complex decision analysis models.
Parmigiani G
Stat Methods Med Res; 2002 Dec; 11(6):513-37. PubMed ID: 12516987
[TBL] [Abstract][Full Text] [Related]
24. A Bayesian framework for extracting human gait using strong prior knowledge.
Zhou Z; Prügel-Bennett A; Damper RI
IEEE Trans Pattern Anal Mach Intell; 2006 Nov; 28(11):1738-52. PubMed ID: 17063680
[TBL] [Abstract][Full Text] [Related]
25. Computational tools for the modern andrologist.
Niederberger C
J Androl; 1996; 17(5):462-6. PubMed ID: 8957688
[TBL] [Abstract][Full Text] [Related]
26. One-shot learning of object categories.
Fei-Fei L; Fergus R; Perona P
IEEE Trans Pattern Anal Mach Intell; 2006 Apr; 28(4):594-611. PubMed ID: 16566508
[TBL] [Abstract][Full Text] [Related]
27. Dynamic decision analysis in medicine: a data-driven approach.
Cao C; Leong TY; Leong AP; Seow FC
Int J Med Inform; 1998 Jul; 51(1):13-28. PubMed ID: 9749896
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Neural network approach to background modeling for video object segmentation.
Culibrk D; Marques O; Socek D; Kalva H; Furht B
IEEE Trans Neural Netw; 2007 Nov; 18(6):1614-27. PubMed ID: 18051181
[TBL] [Abstract][Full Text] [Related]
30. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
31. Structure learning for Bayesian networks as models of biological networks.
Larjo A; Shmulevich I; Lähdesmäki H
Methods Mol Biol; 2013; 939():35-45. PubMed ID: 23192539
[TBL] [Abstract][Full Text] [Related]
32. Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods.
Krusinska E; Babic A; Chowdhury S; Wigertz O; Bodemar G; Mathiesen U
Proc Annu Symp Comput Appl Med Care; 1991; ():353-7. PubMed ID: 1807621
[TBL] [Abstract][Full Text] [Related]
33. A method and software for segmentation of anatomic object ensembles by deformable m-reps.
Pizer SM; Fletcher PT; Joshi S; Gash AG; Stough J; Thall A; Tracton G; Chaney EL
Med Phys; 2005 May; 32(5):1335-45. PubMed ID: 15984685
[TBL] [Abstract][Full Text] [Related]
34. Representation and analysis of medical decision problems with influence diagrams.
Owens DK; Shachter RD; Nease RF
Med Decis Making; 1997; 17(3):241-62. PubMed ID: 9219185
[TBL] [Abstract][Full Text] [Related]
35. The use of physician domain knowledge to improve the learning of rule-based models for decision-support.
Ambrosino R; Buchanan BG
Proc AMIA Symp; 1999; ():192-6. PubMed ID: 10566347
[TBL] [Abstract][Full Text] [Related]
36. On the relationship between dependence tree classification error and Bayes error rate.
Balagani KS; Phoha VV
IEEE Trans Pattern Anal Mach Intell; 2007 Oct; 29(10):1866-8. PubMed ID: 17699930
[TBL] [Abstract][Full Text] [Related]
37. Error-dependency relationships for the naïve Bayes classifier with binary features.
Kuncheva LI; Hoare ZS
IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):735-40. PubMed ID: 18276977
[TBL] [Abstract][Full Text] [Related]
38. Wavelet-based Bayesian image estimation: from marginal and bivariate prior models to multivariate prior models.
Tan S; Jiao L; Kakadiaris IA
IEEE Trans Image Process; 2008 Apr; 17(4):469-81. PubMed ID: 18390356
[TBL] [Abstract][Full Text] [Related]
39. Bayesian analysis of hierarchical pattern-mixture models for clinical trials data with attrition and comparisons to commonly used ad-hoc and model-based approaches.
Demirtas H
J Biopharm Stat; 2005; 15(3):383-402. PubMed ID: 15920887
[TBL] [Abstract][Full Text] [Related]
40. Variational bayesian blind deconvolution using a total variation prior.
Babacan SD; Molina R; Katsaggelos AK
IEEE Trans Image Process; 2009 Jan; 18(1):12-26. PubMed ID: 19095515
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
