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The desirability function approach has been used for multi response optimization.
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In many industrial settings such as chemical plants and electrical power generating plants, operator performance measures have been used for multi-objectives such as control room design, human system interface evaluation, training and procedures.
Binary Logistic Regression (BLR) was used for multi variable relationships with serum albumin levels of <3.8 g/dl as the categorical outcome variable and the likelihood ratio of each independent variable (exponent B) derived with 95% CI; the significance of the results was calculated with and without bootstrapping of 1000 sample iterations across variables in an effort to make the analysis robust.
Hidden Markov Models (HMMs) have also been used for multi-step attack detection.
In this study, the Random Forest algorithm in R [32] has been used for multi-class classification.
Accuracy maximization, complexity minimization and interpretability maximization have often been used for multi-objective design of fuzzy rule-based classifiers.
1610 sequence homologs were used for multi-sequence alignment (MSA).
The same notation is used for multi-indices α = ( α 1, …, α n ).
Thus, a single radio module can be used for multi-channel operation through scheduling.
A genetic-algorithm based optimization tool is used for multi-criteria optimization.
Norm of error ( g − g e s t _ k + 1 2 ) becomes 19.33 in 320 samples, and it took 2.89 min. As discussed in previous sections, if the centralized filter is used for multi-robots, then AS is not possible.
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