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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: Miss it like Messi: Extracting value from off-target shots in soccer
    Article Snippet: Lee and Scott (2012) provide an expectation-maximization (EM) algorithm to estimate mixtures of truncated multivariate Gaussians in MATLAB, but such estimation within a Bayesian hierarchical framework has not been implemented.

    Article Title: Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging
    Article Snippet: ▲CRITICAL STEP Alternatively, GMM can be fitted using the expectation maximization (EM) algorithm in MATLAB.

    Article Title: Optical measurement of physiological sodium currents in the axon initial segment
    Article Snippet: Then, the experimental trace up to η 1 -2 was fitted with the subthreshold component using the Expectation-Maximization (EM) algorithm implemented in Matlab.

    Article Title: Development of patient-specific 3-D graphical entry-point map for external ventricular drain insertion.
    Article Snippet: The data were clustered using a Matlab expectation maximization (EM) algorithm to find the cluster centers and variances.24 Intensity values corresponding to the ventricles were those closest to zero.25

    Article Title: Boolean factor graph model for biological systems: the yeast cell-cycle network
    Article Snippet: In this section, we employed a gene-specific discretization scheme that optimizes the Gaussian mixture model likelihood using the iterative expectation-maximization (EM) algorithm in the MATLAB environment.

    Article Title: SSVEP-Based Brain-Computer Interface Controlled Robotic Platform With Velocity Modulation
    Article Snippet: The GMM parameters, i.e., λk, ηk, μk, 6k, νk , and 0k , were estimated by the Expectation-Maximization (EM) algorithm in MATLAB.

    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: Abdominal synthetic CT generation from MR Dixon images using a U-net trained with ‘semi-synthetic’ CT data
    Article Snippet: Using the expectation maximization (EM) algorithm implemented in MATLAB (Natick, MA), for each class j , we obtained the following model parameters: μ j C T (class mean), σ j C T (class variation), Φ j C T (class weight) and the probability of x i belonging to class j : P C T ( x i ∣ μ j C T , σ j C T ) .



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