Sentence examples for existing supervised from inspiring English sources

That means parents will no longer be able to change browsing restrictions for existing supervised users (i.e. their kids).

A comparative analysis with existing supervised metrics that are commonly used for grading segmentation schemes is performed.

In their work they argued that existing supervised learning algorithms in literature are usually narrowed to one specific domain and rely heavily on domain-specific vocabulary.

Furthermore, the effectiveness of this method as a pattern classifier is compared with other existing supervised and unsupervised methods and evaluated with Receiver Operating Curves (ROC) methodology.

Our technical contributions include devising novel sequence based feature discovery techniques to augment existing supervised classification algorithms, as well as formalizing the classification task as a Markov Chain Model (MCM) that captures the temporal sequence of prior chronic conditions/events.

While the unsupervised FT algorithms cannot effectively utilize the discriminant information between classes in classification tasks, existing supervised FT algorithms have not yet caught up with the advances in classifier design.

Differing from the existing semi-supervised dimensionality reduction algorithms, our algorithm propagates the label information from the labeled data to the unlabeled data through a specially designed label propagation, and thus the distribution of the unlabeled data can be explored more effectively to learn a better subspace.

Our objective in this study was to adapt existing semi-supervised learning ensembles to datasets with high degrees of imbalance.

While rule-based approaches use existing biomedical knowledge/resources, supervised machine learning based approaches rely heavily on annotated training data and domain dictionaries.

However, most of the existing work conducts a supervised learning fashion.

Among the existing neural approaches for supervised learning of a function, we have selected the grow and learn network for its properties adapted to robotic problems: incrementality and flexible structure.