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..
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5SSD0-Mar2020-Lecture-notes.pdf
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BdV-Jan2024-Natural-Artificial-Intelligence.ppsx
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Blei-2014-Build-Compute-Critique-Repeat.pdf
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Blower-2004-An-easy-derivation-of-logistic-regression-from-the-Bayesian-and-maximium-entropy-perspective.pdf
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Bo-2008-What-is-the-expectation-algorithm.pdf
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Bruyninckx-2002-Bayesian-probability.pdf
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Caticha-2010-Entropic-Inference.pdf
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Caticha-2012-Entropic-Inference-and-the-Foundations-of-Physics.pdf
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Chen-EM-algorithm.pdf
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Collins-1997-The-EM-algorithm.pdf
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Dauwels-2007-on-variational-message-passing-on-factor-graphs.pdf
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Dauwels-2009-Expectation-Maximization-as-Message-Passing.pdf
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Deng-2005-A-model-based-approach-for-the-development-of-LMS-algorithms.pdf
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Faragher-2012-Understanding-the-Basis-of-the-Kalman-Filter.pdf
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Forney-2001-Codes-on-graphs-normal-realizations.pdf
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Friston-2009-The-free-energy-principle-a-rough-guide-to-the-brain.pdf
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Jaynes-1990-straight-line-fitting-a-Bayesian-solution.pdf
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Liang-2015-technical-details-about-the-EM-algorithm.pdf
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Loeliger-2007-The-factor-graph-approach-to-model-based-signal-processing.pdf
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MScprojects-2023.pdf
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MScprojects-2023.pptx
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Mackay-2006-The-humble-Gaussian-distribution.pdf
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Minka-1999-from-HMM-to-LDS.pdf
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Minka-2005-Discriminative-models-not-discriminative-training.pdf
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PRML.pdf
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Roweis-1999-gaussian-identities.pdf
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Roweis-1999-matrix-identities.pdf
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RoweisS99-Unifying_Review_of_Linear_Gaussian_Models.pdf
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ShoreJohnson-1980-Axiomatic-Derivation-of-the-Principle-of-Maximum-Entropy.pdf
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WIRED-Friston.pdf
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Zhang-2017-Unifying-Message-Passing-Algorithms.pdf
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bishop-ppca-jrss.pdf
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met-mlbayes.pdf
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