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The log-likelihood over all individuals can be maximized using the expectation maximization algorithm.
The model parameters are trained by the expectation maximization algorithm.
Fig. 5 Pseudo-code for knowledge based profit maximization algorithm.
The parameters of the system are estimated using the Kalman filter and the expectation maximization algorithm.
In the present study the extended infomax [7] (infomax = information maximization) algorithm was used.
A Gaussian Mixture Model is fit using the Expectation Maximization algorithm as implemented in the R library CNVtools [18].
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The PLVR model calibrated by the expectation-maximization algorithm is systematically developed.
Statistical pattern-matching has been implemented using both the expectation-maximization algorithm and the Gibbs sampler.
The missing phase information is accommodated by use of the Expectation-Maximization algorithm [7].
Missing values were handled using a Structural Expectation-Maximization algorithm [26].
Fourteen htSNPs were selected using the expectation-maximization algorithm [22] to predict the common haplotypes among Caucasians (rh2>0.85).
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