Sentence examples for be seen as classification from inspiring English sources

Data that describe the analyzed series of gemini imidazolium chlorides can be seen as classification data, where parameters characterizing structure and surface active properties, as well as molecular parameters, are condition attributes (independent variables) and antifungal activity is represented by class labels assigned to chlorides by a decision attribute (dependent variable).

10 12 Diagnosis can be seen as the classification of an individual patient and the distinction between 'classification' and 'diagnostic' criteria is somewhat artificial.

However, the traditional target detection can be seen as a binary classification problem which decides whether the target is present.

The RepLab task can be seen as a binary classification problem, consisting in deciding if a user is influential or not.

In this study, inferring the interests of a user on a given document can be seen as a binary-class classification problem.

The reasoning for large column separation follows from the fact that each column in the target matrix can be seen as an individual binary classification task (between the classes having a value 1 and the classes having a value −1 in a specific column).

The definition of these areas can be seen as a problem of unsupervised classification, or clustering, where we try to divide the domain into homogeneous domains with respect to the values taken by the variables in hand.

Generally speaking, the first subtask is a text retrieval task while the second can be seen as a multi-class text classification problem where each GO term represents a distinct class label.

The new population classification should be seen as a "sign of progress in our understanding and recognition of biological populations," says Scott Baker, a conservation geneticist at Oregon State University, Corvallis, whose lab provided some of the data for the reclassification.

SVM-based classification can be seen as a two-step procedure.

The classification can be seen as a max function where the good, intermediate and poor prognosis groups have a maximum score of zero, one or two, respectively.