Sentence examples for learning classifications from inspiring English sources

We then carry out both ANN and SVM supervised learning classifications on the same three populations.

Support Vector Machine (SVM) is a machine learning classification technique that supports binary classification.

This work proposes a computationally efficient technique for the traversability estimation of the terrain, based on a machine learning classification method.

Different Machine Learning classification algorithms were used to fit the QPPRs based on πk SN), showing J48 decision tree classifier to have the best performance.

The new API now allows users to return a Twitter user's "True Reach", "Amplification Score" and "Network nScore" as well as a machine learning classification of the type of user a person is (Connector, Persona).

The sequence learning capability coexists, within the insect brain computational model, with all the other features already addressed like attention, expectation, learning classification and others.

The approaches of designing effective siRNAs are classified into to two groups: the score-based algorithms and the machine learning classification algorithms.

Fig. 6 Average recall and precision parameters calculated for a number of machine learning classification methods applied to the DUD-E datasets.

This can be formulated as a classification problem and addressed by learning a classifier, traditional machine learning classification methods very easily stick to local optima which can be caused by noises of data.

Briefly, a clinically curated set (n = 84) of non-synonymous RET mutations with known pathogenicity was used to train and test machine learning classification algorithms.

To help bridge this genotype:phenotype gap, the use of machine learning classification algorithms to narrow the uncertain "grey area" between pathogenic and benign sequence variants warrants careful evaluation [7], [8], [9], [10].