Sentence examples for output classification from inspiring English sources

Finally such ST features are fed to the NeuCube to output classification result of obstacle analysis for an early warning system to be activated.

It is very difficult and often simply not possible for mere humans to understand how individual training data points influence each output classification (inference) decision.

The distance from the sample to the hyperplane indicates the probability of the type of output classification is the sample in.

The default (naïve) voting threshold used to determine the output classification is simple majority rule: if more than half of the network votes are positive (k > 16.5), the compound in question is classified as a positive; otherwise, it is classified as a negative.

This output classification value reflects the algorithm's prediction whether the segment contains a TSS at its centre or not.

However, unlike tools like TEclass [54], which makes use of the profiles of frequent k-mers from the Repbase Update databank, our TE classifier guides output classification by detailing the precise TE features present on the analyzed sequences, such as terminal repeats and matches with known TEs.

As a supervised method, LVQ uses known target output classifications for each input pattern of the form.

This study has discussed important methodological implications (e.g., input and output classifications) in assessing various DEA-related applications on energy and environment.

Therefore, we do not output classifications when Sequencing errors complicate de Bruijn graph assembly by lowering effective k-mer coverage and adding false branches to the graph.

True positive (TP), false negative (FN), false positive (FP), true negative (TN) rates are provided for the actual and predicted outputs (classification outputs).

The fiducial probability output of classification results can make the classification results of the vague samples to be effectively recognized for subsequent processing.