Sentence examples for output label from inspiring English sources

Images are normalized and bias field corrected in the pre-processing step and then extracted patches are passed through a DCNN, which assigns an output label to the central pixel of each patch.

A feature element that falls into an interval will be mapped to the corresponding 1-bit output label.

Another area of future work pertains to the scenario where the output label space is different between domains.

The method of adjusting output label values is used to prevent the output saturation problem for multi-class classification.

All training sentences used in building the voice are synthesized where phoneme durations are also generated in the form of output label files.

The variable θ, which parametrizes the relationship between the topic indicators and the output label, is estimated in an iterative manner along with the topics.

In multi-label learning, the key to successful classification is effectively exploiting the complex correlations among the output labels.

The data is composed of fixed size vectors containing raw elemental compositions in the compound as input and formation enthalpy in eV/atom as output labels.

Combat identification is one example where incorrect automatic target recognition (ATR) output labels may have substantial decision costs.

Furthermore, a decision tree is built with the resulting k values for each data point to output labels of the training samples.

The CRF specifies a conditional distribution for its output labels given its inputs and parameters.