Machine Learning offers the possibility to classify single items in large data sets and to categorize these items with regard to the context they are in.
The performance of the Principal Components Analysis (PCA) models was applied in this research to check the possibility to classify pork samples in the respective freshness group.
However, while the most recent ICHD criteria improved the possibility to classify some patients, such as children with migraine with aura [2], they turned out to be unsuitable for others, such as young patients with primary headache.
Another possibility to classify blending surfaces is to analyze the class of primary surfaces that can be dealt with.
Multivariate mixture models give the possibility to classify mastitis on the basis of more than one variable and to model overlapping groups, which may improve classification even further.
However, the above-mentioned low sequence similarity of isoenzyme 2 with known α- l-fucosidases more likely suggests the possibility to classify this enzyme in a new family.
In particular, a validated system as a uniform outcome measure allow meaningful comparison between studies, hence giving the physician the possibility to classify the patients accordingly to a score.
The possibility to classify breast tumours accurately into risk groups on the basis of genomic instability together with information about proliferation is an implication of practical clinical relevance of this study.
In the current version of the DSM-IV-TR, there is no possibility to classify the explicit lack of empathy that is sometimes found in youth with severe delinquent behavior.
Another possibility is to classify these compounds taking into account their biochemical influences.
Another possibility is to classify first stories in which the concentration change responses are privileged as shown in Table 2b.
