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features may remediate numerical instability to some extent.
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[^1]:
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M. Burkhart, L. Lee, D. Vaghari, A. Toh, E. Chong, C. Chen, P. Tiňo, and Z.
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Kourtzi, _Unsupervised multimodal modeling of cognitive and brain health
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trajectories for early dementia prediction,_ Sci. Rep. 14 (2024)
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M. Burkhart, L. Lee, D. Vaghari, A. Toh, E. Chong, C. Chen, P. Tiňo, & Z.
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Kourtzi,
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[_Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction_](https://doi.org/10.1038/s41598-024-60914-w),
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Scientific Reports 14 (2024)
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[^2]:
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S. Chiappa and D. Barber, _Dirichlet Mixtures of Bayesian Linear Gaussian
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State-Space Models: a Variational Approach,_ Tech. rep. 161, Max Planck
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Institute for Biological Cybernetics, 2007.
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S. Chiappa & D. Barber, _Dirichlet Mixtures of Bayesian Linear Gaussian
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State-Space Models: a Variational Approach_, Tech. rep. 161, Max Planck
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Institute for Biological Cybernetics, 2007
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A. Dempster, N. Laird, and D. Rubin. _Maximum Likelihood from
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Incomplete Data via the EM Algorithm._ J. Roy. Stat. Soc. Ser. B (Stat.
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Methodol.) 39 (1977).
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A. Dempster, N. Laird, & D. Rubin, [_Maximum Likelihood from
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Incomplete Data via the EM Algorithm_](https://doi.org/10.1111/j.2517-6161.1977.tb01600.x),
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Journal of the Royal Statistical Society: Series B (Methodological) 39
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