Sentence examples for the classification concept from inspiring English sources

With the classification concept, the response speed is significantly improved.

If the test sequence has no relationship with any training sequence, a HSPs score cannot be generated; thus the classification concept cannot be performed on that particular sequence.

This is because the classification concept used in the sequence alignment relies on HSPs scores which represent the similarity scores between two sequences using BLASTP.

The comparative plots illustrate that the classification concept-based models show a better performance than those based on logistic regression.

The use of the habitat classification concept compiled in the German Red Data Book on endangered habitats [34] ensures the compatibility with other monitoring approaches, nature conservation management, and prospectively also pesticide registration.

Then, a novel soft radial basis cellular neural/nonlinear network (SRB-CNN) based concept is developed, validated and extensively benchmarked with a selection of the best representatives of the current related state-of-the-art classification concepts (namely the following: support vector machines with radial basis function, artificial neural network, naive Bayes, and decision trees).

For this, the habitat classification concept, compiled in the "German Red Data Book on endangered habitats", was used [34, 37] (Table 1).

Defining a uniform approach to MCI classification, or indeed for any classification concept within the field of dementia, should be a priority if further trials are to be undertaken in the older aged population based on these concepts.

The reason for not using 'limited' concepts that were based on a classification concept or an administrative definition was that they did not seem to be modelled into SNOMED CT like other concepts, as they were 'hanging in the end' of the hierarchies in SNOMED CT.

In addition it introduces an own classification concept and offers specific searches and visualization possibilities not implemented in the others.

Each layer is composed of classification nodes, with each node identifying one classification concept.