Sentence examples for in case of supervised from inspiring English sources

Fig. 1 Network configurations and DNN adaptation procedure in case of supervised training: (1) DNN is trained with foreign data (ESTER), (2) the output layer is replaced by a new layer with randomly initialised W L connections, and (3) retraining of the network on in-domain (MP-FR) data.

In the case of Supervised Users, a Chromebook user with full permissions can visit chrome.com/manage to control and edit their kids' (or other supervised users') accounts.

In the case of supervised empirical assessments, discrepancy measures are employed for computing measures of dissimilarity between a reference polygon and an image object candidate.

Non-linear methods that also take into account the classification goal can be especially useful in the case of supervised tasks and may compete with the human expert.

In the case of supervised learning, we are given a set of examples and to aim to infer the mapping based on the data in the training and other data sets.

In the case of supervised cc-Biclustering, we correlated the co-expression of the subset of genes within a bicluster with ALT.

The main disadvantage of machine learning methods is the already mentioned need, in the case of supervised learning, for large amounts of annotated training data.

The province is home to eight supervised injection sites, where addicts ingest illegal drugs under the supervision of nurses who can intervene in case of an overdose.

At about 100 supervised injection facilities around the world, health care providers are available to intervene in case of overdose, connect users with drug treatment resources and provide clean needles and other supplies.

4. Can the low-dimensional representation of signaling networks be used for predictive (supervised) modeling of cellular responses, i.e. apoptosis intensity? 5. Are there any differences in performance between linear and nonlinear dimensionality reduction techniques in the case of both supervised and unsupervised learning (i.e. PCA vs. Isomap)?

The HNN MLSE equalizer does not have to be trained by providing a set of training examples as in the case of conventional supervised neural networks [28].