Sentence examples for more appropriate classification from inspiring English sources

Therefore, within this northern portion of the geographic range of red mangroves, a more appropriate classification system based upon architecture may be one in which overwash and fringing forest types are combined into a single, "tide dominated" category.

In order to avoid a bias towards a larger negative class, we presented a threshold relaxation method that not only shifts the threshold towards the more appropriate classification boundary but also maps the output of the classifier to a probability value.

Thus, in such circumstances the proposed classifier MDAhet seems the more appropriate classification scheme to use.

We further investigated if there is a more appropriate classification for MSI in terms of its prognostic value.

Despite an appearance that resembles hyaline cartilage, these tumors retain an epithelial phenotype and express specific chordoma markers, including cytokeratin and S-100, which are not found in cartilaginous tissue; this has suggested their alternative, more appropriate classification as "hyalinized chordomas" [ 22].

We used DSM rather than the ICD-10 Primary Care Version, which would seem to be a more appropriate classification for GPs [ 9] because psychiatry teaching in the undergraduate medical curricula in Thailand is based on the DSM system as most of the senior faculty were trained from the United States.

It is also demonstrated in a more recent work that it is not sufficient to use kernel space distance for unsupervised learning algorithms, and the distances in the input space are more appropriate for classification [40].

The current results suggest that the CORE 4 approach might be more appropriate for classification of problem gamers and addicted gamers compared to the GAS 7 approach.

Although the classifiers which can provide multi-class classification such as support vector machines (SVM) and neural networks are usually selected for medical image classification [4], one-class classifiers (OCC) [5] that can work on the samples seen are, so far, more appropriate for medical image classification task.

Now, another, maybe even more appropriate application of that classification can be used for the international roster of artists associated with the Playing For Change organization, Mark Johnson's brainchild, that germinated in a New York City subway when two performing monks mesmerized a morning rush hour crowd by simply playing their simple music.

Designed to elicit clustering tendencies in the data, SPP may be more appropriate when performing clustering or classification analysis.