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Minimization focuses on reducing a suspect's feelings of guilt, while maximization is designed to heighten suspect anxiety using confrontation.
To obtain the optimal parameters in the proposed models, an iterative algorithm based on Expectation Maximization is designed.
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A fuzzy expected value maximization model is designed for such a problem.
For parameter learning of the semisupervised PPLS model, an efficient Expectation-Maximization algorithm is designed.
For training and parameter learning of the probabilistic PLS model, the Bayes rule is applied and an efficient Expectation-Maximization algorithm is designed.
In brief, CaVEMan is a somatic base substitution caller that utilizes an expectation maximization (EM) algorithm and is designed for calling variants in new sequencing technology reads.
A suspending 0.5 μm-thick gold thin-plate with two-gap structure in one-to-three ratio of spacing is designed for the maximization of tuning range.
The objective function is designed to realize the maximization of the total profit of replanning tasks.
Based on each maximization problem at each hop, one after the others, each precoding matrix is designed.
An expectation maximization style algorithm is designed to optimize multiple energy terms alternatively until convergence.
The paper analyzes and compares the systematic bias errors and the noise error behaviors of the amplitude ratio estimation changing the order of Rife Vincent windows class I, which are designed for maximization of the window spectrum side-lobe fall-off, and minimum side-lobe level (MSL) windows, which are designed for minimization of the energy in the window spectrum main lobe.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com