Sentence examples for use of the supervised from inspiring English sources

The GESR-LR makes full use of the supervised learning information in the construction of the affinity matrix, and the affinity construction is combined with graph embedding in a single step to guarantee the global optimal solution.

In this study, instead of using the supervised or unsupervised learning tools as in the Bayesian approach and other methodologies, our method uses a network approach on the combination of the ChIP-chip data and the TFKO data to infer the functional TF-gene binding pairs.

In this work we report, for the first time, the use of a supervised molecular dynamics approach to explore the possible protein-peptide binding pathways within a timescale reduced up to three orders of magnitude compared with classical molecular dynamics.

Qualitative data was gathered by three members of a research team, using video recordings of the supervised sessions and focus group interviews with both 1st and 3rd year students.

On the other hand, it was found that the use of a supervised method (such as PLS) clearly improved the performance of the classifier.

SRFA combines supervised learning and statistical similarity measures among the chosen features and the candidates and is presented as follows: Step 1: Each individual feature is ranked from the highest classification accuracy to the lowest classification accuracy with the use of a supervised learning classifier.

Thus, we recommend the use of both supervised and unsupervised methods to confirm the pattern classifications [5].

Our work establishes, for the first time to our knowledge, the use of several supervised methods for classifying and distinguishing between neuronal cell types.

In addition, the use of a supervised analysis method (support vector machines) made it possible to correctly classify samples.

69 A number of studies have reported the use of aggressive supervised therapies, including Cfz and other group 5 drugs such as linezolid and clarithromycin.

Ramesh and Yu [ 18] proposed the use of a supervised machine learning method called conditional random fields (CRFs) to automatically identify discourse connectives in biomedical texts.