Sentence examples for two classes of data from inspiring English sources

Two classes of data sets could potentially be modified to emulate resting state data.

Fundamentally, two classes of data can be distinguished: semantically specified and semantically unspecified data.

By minimizing (4), features are selected according to excluding features that contribute least to discerning between two classes of data.

The purpose of kernel function is to build a hyperplane that could separate two classes of data more accurately.

This is because these two classes of data do not have specific boundaries that segregate the various stock data.

SVMs are basically designed for binary classification problems and employs supervised learning to find the optimal separating hyperplane between the two classes of data.

In a different way, we propose herein different transmission mechanisms for three classes of data relevancies.

For the case of the synthetic datasets, we use an unknown label dataset which was introduced earlier as the seed for creating three classes of data including abrupt, gradual and non-evolving.

In this paper, we discuss three classes of data pretreatment methods: (I) centering, (II) scaling and (III) transformations (Table 1).

These medications were the only oral medications within the three classes of data that we had access to that were approved within our study period.

Within the three classes of data (matching miRBase; not-matching and with predicted targets; not-matching and no predicted targets) there were distinctly different sequence length frequencies.