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expectation maximization (em) algorithm  (MathWorks Inc)


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    MathWorks Inc expectation maximization (em) algorithm
    Expectation Maximization (Em) Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/expectation-maximization+algorithm/pm40345382-44-7-6
    Average 90 stars, based on 1 article reviews
    expectation maximization (em) algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Modeling normal mouse uterine contraction and placental perfusion with non-invasive longitudinal dynamic contrast enhancement MRI
    Article Snippet: The Expectation-Maximization algorithm [ ] (EM) was implemented via built-in MATLAB functions to estimate the probability parameters θ : = π , μ 1 , σ 1 , μ 2 , σ 2 of the perfusion distribution.

    Article Title: Computational prediction of intracellular targets of wild-type or mutant vesicular stomatitis matrix protein.
    Article Snippet: These fold changes were converted to discrete values by clustering onto gamma distributions using an expectation-maximization algorithm [44] implemented in MatLab (MathWorks).

    Article Title: Confidence boosts serial dependence in orientation estimation
    Article Snippet: The model was fit to data using an expectation-maximization algorithm implemented in MATLAB code obtained from www.bayslab.com .

    Article Title: An Upgrading Procedure for Adaptive Assessment of Knowledge.
    Article Snippet: In knowledge space theory, existing adaptive assessment procedures can only be applied when suitable estimates of their parameters are available.. In this paper, an iterative procedure is proposed, which upgrades its parameters with the increasing number of assessments.. The first assessments are run using parameter values that favor accuracy over efficiency.

    Article Title: Distinct Surface Expression of Activating Receptor Ly49H Drives Differential Expansion of NK Cell Clones upon Murine Cytomegalovirus Infection.
    Article Snippet: ; optimization was done using the Expectation-Maximization algorithm as implemented in the function ‘fitgmdist’ of MATLAB’s ‘Statistics and Machine Learning Toolbox’.

    Article Title: Ultrafast Sodium Imaging of the Axon Initial Segment of Neurons in Mouse Brain Slices.
    Article Snippet: To find the parameters α and β, use Expectation-Maximization (EM) algorithm in Matlab to fit the signal up to η1-2 with Fxsub. c. To find the parameters γ, η3, ν2, and ν3, use EM algorithm on the entire signal to fit Fx. d. Calculate Na+ current at position y as INa (t ) = Fx (t ) − Fx (t − 1) δt where δt = 0.1 ms is the sampling time (Fig. 6D).

    Article Title: Gaining the PROMIS perspective from children with nephrotic syndrome: a Midwest pediatric nephrology consortium study
    Article Snippet: We applied the Expectation-Maximization (EM) algorithm [ ] to handle missing outcomes in the simultaneous regression of the 7 PRO scores, which has been implemented in MATLAB package mvregress .

    Article Title: Computational prediction of intracellular targets of wild-type or mutant vesicular stomatitis matrix protein
    Article Snippet: These fold changes were converted to discrete values by clustering onto gamma distributions using an expectation-maximization algorithm [ ] implemented in MatLab (MathWorks).



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