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Petersen KB, Winther O, Hansen LK (2005) On the slow convergence of EM and VBEM in low-noise linear models. Neural Comput 17:1921-1926 [PubMed]

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Attias H (1999) Inferring parameters and structure of latent variable models by variational bayes In Proceedings of Fifteenth Conference on Uncertainty in Artificial Intelligence
Beal MJ, Ghahramani Z (2003) The variational Bayesian EM algorithm for incomplete data: With application to scoring graphical model structures Bayesian Statistics 7:453-465
Bell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7:1129-59 [PubMed]
Bermond O, Cardoso JF (1999) Approximate likelihood for noisy mixtures ICA99 :325-330
Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B 39:1-38
Højen-Sørensen PA, Winther O, Hansen LK (2002) Mean-field approaches to independent component analysis. Neural Comput 14:889-918 [Journal] [PubMed]
Mclachlan GJ, Krishnan T (1997) The EM algorithm and extensions
Olsson RK, Lehn-schioler T, Petersen KB (2005) State-space models-from the EM algorithm to a gradient approach Manuscript submitted for publication
Petersen KB, Winther O (2005) Explaining slow convergence of EM in low noise linear mixtures Tech. Rep. 2005-2
Petersen KB, Winther O (2005) The EM algorithm in independent component analysis IEEE International Conference on Acoustics, Speech, and Signal Processing
Salakhutdinov R, Roweis S (2003) Adaptive overrelaxed bound optimization methods Proc Int Conf Mach Learn
Salakhutdinov R, Roweis S, Ghahramani Z (2003) Optimization with EM and expectation-conjugate-gradient Proc Int Conf Mach Learn
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