Sentence examples for multiple classifications of from inspiring English sources

There are multiple classifications of neuroendocrine tumours as they present a heterogeneous group.

While sales price is a very clear distinguisher, there are multiple classifications of the number that actually defines the tier, leading to the term being thrown around.

In my understanding (and I believe consistently with what is found in the philosophy textbooks), Aristotle is known for having produced multiple classifications of beings, based on different characters.

One of the most controversial, influential, and striking parts of Kant's theory of judgment is his multiple classification of judgments according to kinds of logical form and kinds of semantic content.

Indeed the very importance of Kant's multiple classification of judgments has sometimes led to the misconception that his theory of judgment will stand or fall according to the fate of, e.g., his analytic-synthetic distinction, or his doctrine of synthetic a priori judgments.

Stage 2 Generation of decision functions (f_M^{mathrm{race}} (widehat{x})) also (f_F^{mathrm{race}} (widehat{x})) within each gender group for a multiple classification of objects by race using a binary classification (the "one versus all" scheme) taking into account the proposed bootstrapping procedure.

Thus, strategies for using TRIBE-MCL range from simply using program defaults [22] or arbitrary user-defined values [23] to the generation of multiple classifications using different parameter values [24] and the use of parameter values found to be globally optimal with respect to some empirical quality measure [25].

Event detection by stochastic mapping is determined by a varying cutoff value (posterior probability of event), thus multiple classifications are possible with various levels of sensitivity (=true positive rate [TPR]) and specificity (=1 − false positive rate [FPR]).

It is therefore good practice to run multiple classifications specifying different numbers of output classes, e.g. 20, 50, and 100 classes.

Our system uses detection models with multiple classification stages of increasing complexity as shown in Figure 2.

We propose a novel and general framework called the multithreading cascade of Speeded Up Robust Features (McSURF), which is capable of processing multiple classifications simultaneously and accurately.