Sentence examples for targeted instances from inspiring English sources

Since the model is not able to solve the targeted instances exactly within a reasonable computation time, a hybrid method, embedding an exact approach within a heuristic scheme, is presented.

We are the first group to conduct interviews targeting instances of outcome reporting bias and protocol changes.

A learner is now trained with the transformed labeled target instances.

This process also preserves the structural consistency between the labeled and unlabeled target instances.

This method allows for multiple classes, requires limited labeled target training instances, and utilizes unlabeled target instances though one can have classes which contain only unlabeled instances.

Finally, a target classifier is learned based on the reweighted source instances and any labeled target instances that are available.

This method exploits the knowledge from unlabeled target instances to enhance a target HTL task with limited target labels.

Experimental results show that our algorithms scale well, and are effective in producing target instances of good quality.

Then, the misclassified source instances are lowered in importance and the misclassified target instances are raised in importance.

During manifold regularization, unlabeled target instances are used to reduce overfitting issues caused by having very limited labeled target data.

The optimization problem is solved to develop a final target prediction function to predict newly arriving target instances.