Such indexes could be incorporated into a discriminate function analysis, or they perhaps also could be fed into a neural-net program, such as Clementine, to learn to distinguish groups of texts.
In order to determine if both of the distance shapes of the morphotypes were statistically significant, a discriminate function analysis was performed with the values transformed into Procrustes residuals by subtracting the mean shape, and a P-value was calculated using Hotelling's t-test function at a significance level of p<0.001.
Both Discriminant 1 and Discriminant 3 were logistic regression models, whereas Discriminant 2 was a linear discriminating function.
Both Discriminant- 1 and Discriminant- 3 were logistic regression functions, whereas Discriminant- 2 was a linear discriminating function using plasma concentrations (expressed in μM) as explanatory variables.
The decision vector is formed from a given discriminating function (f(mathbf {x})=f(mathbf {w}, mathbf {x})), which can effectively match with class label (y_i) of the training dataset.
In the present study, we verified the usefulness of PFAA profiling for lung cancer detection using new independent samples that had never been used for previous analysis and a derivation of multivariate discriminating function(s) that could distinguish lung cancer patients from control subjects.
A special terminal set is used to build the discriminating function which is employed to determine whether the considered machine is bottleneck.
To create more effective scheduling heuristics for job shops, Jakobovic and Budin [59] presented the GP-3 method in which three program trees represent one discriminating function and two priority functions.
Fig. 2 Probabilities (mean ± standard error) of membership to FM groups for patients included in headache types (CM chronic migraine, MA migraine with aura, MWA migraine without aura, CTH chronic tension-type headache, ETH episodic tension-type headache, HC hemicrania continua, HP paroxysmal hemicrania), according to the discriminating function.
Our discriminating function is based on the Kullback-Leibler (KL) divergence between conditional probability tables (Eq. (3) below).
By extending the notation of the discriminating function w defined earlier, we let w u, T) denote the colorful connected subnetwork S′ such that S′ contains u, the color set of vertices in S′ is T and S′ has the maximum discriminative score compared with ones of the colorful connected subnetwork S″'s that contain u.
