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Calculate log Λ using the quadratic approximation in (A.1) around the MAP, and go to step (A) with the other τ to maximize log Λ by the direct-search maximizing method such as the simplex method (e.g., Kowalik and Osborne, 1968; Murata, 1992).
In this work, we aimed at maximizing method reproducibility by automation of most of the sample preparation, extraction, data acquisition and, to some extent, lipid identification, and post-processing of the data.
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In this paper we consider an expectation-maximization method for maximizing the likelihood of (time nonhomogeneous) evolutionary Markov models on trees.
The aim of the work was to find the best experimental conditions, using a USP apparatus 2 (paddle), for maximizing the method precision as degree of repeatability.
For the Maximized method, the recovery of in-focus photons increases the maximized image SNR and is superior to both uniform illumination and HiLo method.
First, the Maximized method improves SNR and SBR metrics compared to the HiLo method, while contrast remains mainly unaffected; this is because in the Maximized method the signal and noise statistics are taken into account explicitly, and therefore the available photons are utilized more effectively.
We also address the unknown properties of the input data by determining experimental data properties that maximize our method's performance.
Given that measuring to which extent this is true, it can therefore be used to select the community detection method maximizing modularity.
Using the remaining portions of the assemblies we determined an optimum quality threshold for each analysis at which the average sequence quality was maximized (see Methods, Figure 2).
Among all the non-dominated solutions, the satisfaction-maximizing method is taken to choose an eclectic decision in this paper.
Non-dominated sorting genetic algorithm-II (NSGA-II) and satisfaction-maximizing method are adopted to solve the multi-objective model with Pareto fronts and eclectic decision obtained.
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