Sentence examples for supervised approaches from inspiring English sources

Various approaches focus on combining different features, using supervised approaches.

Therefore, supervised approaches tend to adapt to the context they were applied to.

Blaschko et al. [1] presented a comparison of supervised approaches to learning and classifying plankton.

Clustering based approaches have been used previously in weakly supervised approaches.

We discuss about the general framework of our unsupervised and supervised approaches in Section 5.

If multiple microphones are available, data-dependent multichannel approaches for signal extraction can be classified into unsupervised and supervised approaches.

Compared to the other semi-supervised approaches, our approach either achieved higher or comparable AUC scores.

We investigate semi-supervised approaches for learning hidden state conditional random fields for sequence classification.

Biomedical NER applications show a trend towards semi-supervised approaches because they offer more general and independent corpus solutions [23].

More generally, unsupervised and semi-supervised approaches for facial feature extraction, event detection and classification have dragged interest [28].

In this context, semi-supervised approaches have been proposed to leverage from both labeled and unlabeled data.