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Finally, at the utterance level, we used expectation boosting, which is described in Section 6.
They used expectation maximization algorithm to compute posterior probability map for each 8 × 8 block being aligned/nonaligned double compressed.
In the current work, we used expectation maximisation (EM) algorithm during HMM parameter training step.
We used expectation maximization to find over-represented motifs near TSSs of Phytophthora infestans, the potato blight pathogen.
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We used expectation-maximization (EM) to estimate the parameters of genetic networks.
Our approach is based on the widely used Expectation-Maximization algorithm.
The LCA package in R used expectation-maximization and Newton Raphson algorithms to find maximum likelihood estimates of model parameters.
The Bayesian approach used in PHASE is more accurate than the widely used Expectation-Maximization (EM) algorithm and other methods [ 98, 99].
Matrices F and H can be used to determine GRN [ 7, 14]: (2) C = H F (H ′ H ) - 1 H ′. We used expectation-maximization (EM) [ 12, 15] to infer parameters in SSM.
"For millennia, medicine was basically placebo – by using expectation, magicians used the will to heal," he says.
Furthermore, the EABSDC uses different macroeconomic aggregates to identify recession phases; however, we use expectation data about the economic activity.
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