Sentence examples for output class from inspiring English sources

In particular, training pixels are drawn from a region that is spatially distinct from the mapped region, which could feature an output class mix that is substantially different from that of the training set.

Most ecological indices are naturally multiclass (e.g. water quality index: bad, regular, good) and the generation of models able to predict the output class in novel situations is required.

The output class AB stage of the error amplifier and the non-linear derivative current amplifier of the LDO feedback loop ensure dynamical extended close-loop bandwidth gain and dynamical damping enhancement for fast load and line LDO transients.

In response, we sought to develop a paradigm of a multiobjective, optimization-based weighted voting scheme to assign appropriate weight values to classifiers and each output class based on the predictive performance of classification algorithms, all to enhance the predictive performance of sentiment classification.

ECOS and eSTDM in particular can learn incrementally from data streams, can include 'on the fly' new input variables, new output class labels or regression outputs, can continuously adapt their structure and functionality, can be visualised and interpreted for new knowledge discovery and for a better understanding of the data and the processes that generated it.

The output class values are one hot encoded adhering to good practice protocols.

This semantic network is used to name the output classes, and also to determine structural relations between classes.

In its basic formulation, thresholding searches for a global value that maximizes the separation between output classes.

The results indicate the robustness of support vector classification for the experimental data with two output classes.

For the same reasons, almost any large organisation can, if it chooses, use the worldwide web to be a media outlet – though whether the output classes as journalism or public relations is another matter.

In order to evaluate the fusion merits quantitatively, all the data sets are digitally classified and studied the output classes for homogeneity and clear discrimination.