Two different parametric casing surface definitions are used in the optimization process.
We implemented and compared six different parametric and non-parametric machine learning models including Random Forest, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Adaptive Boosting (AdaBoost), Naive Bayes (NB), and Decision Tree.
This study was designed to compare the performance – in terms of bias and accuracy – of four different parametric, semiparametric and nonparametric methods in spatially predicting a forest response variable using auxiliary information from remote sensing.
Figure 11 shows the detection ratio using systems of order 25, against seven different parametric cyber-physical adversaries.
Recently, two different parametric Rao tests, referred to as the normalized parametric Rao (NPRao) test and the scale-invariant parametric Rao (SI-PRao) test, respectively, have been developed in [32] for the partially-homogeneous environment.
Since we are comparing four different parametric descriptions to the same data set, it is sufficient to use a relative ranking measure only, and we do not require an absolute or normalised measure of fit.
Bird sounds are represented with two different parametric representations: (i) the mel-cepstrum parameters and (ii) a set of low-level signal parameters, both of which have been found useful for bird species recognition.
26 For that reason, we assessed five different parametric distributions from the general family distribution (exponential, Weibull, log-logistic, log-normal, and generalized gamma).
This paper aims at illustrating the compared results of the application of two different approaches respectively parametric and artificial neural network techniques for the estimation of the unitary manufacturing costs of a new type of brake disks produced by an Italian manufacturing firm.
In this study, two different new parametric representations for interval numbers were investigated.
