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In order to ensure global minimum, we use an iterative optimization with proper settings of parameters.
In order to seek the optimal control such that the quadratic performance index (5.2) attains the minimum, we use the minimum principle.
To avoid the possibility that the search for the optimum value of the parameters finishes in a local minimum, we use a multi-starting technique that initializes the NN several times for different initial random values, trains the network and chooses the one with the best result on the validation set.
Firstly, in order to reduce the number of parameters that need to be estimated to the minimum, we use the method proposed by Tang et al. [ 28].
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For implementation of the supra-segmental parameters of emotional speech, the statistical types of median values, range of values, std, and/or relative maximum and minimum we used in the feature vectors.
If effect sizes are small, the effect of confounding third variables could be substantial; to keep this effect to a minimum, we used relative risks derived from a stratified analysis correcting for the impact of alcohol and socioeconomic status.
To automatically identify minima, we used a sliding window smoothing algorithm on the dissolved oxygen data to reduce measurement noise.
Since KM is prone to getting stuck in local minima, we used 100 restarts, and returned the clustering with the lowest overall distortion.
In our application, the PRF may range as high as 300,000 Hz. (the minimum frequency we use is at least one order of magnitude above the CFF as measured under our conditions).
Evans's project aligns with the work of British philosopher J. L. Austin, who argued that "words are our tools, and, as a minimum, we should use clean tools: we should know what we mean and what we do not, and we must forearm ourselves against the traps that language sets us".
Using (12), (21), and (25), we obtain that the minimum possible Bayesian CRLB (Since all of the estimators utilized in this paper attain the minimum possible CRLB, we use CRLB and TMSE interchangeably).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com