Sentence examples for labeled examples from inspiring English sources

Most of the existing feature-based methods and graph-based methods require sufficiently large amount of labeled examples or a fully-labeled graph for training.

We used very few labeled examples for initial training.

In many machine learning settings, labeled examples are difficult to collect while unlabeled data are abundant.

Moreover, the number and especially the quality of the manually labeled examples challenge such strategies.

The performance of supervised statistical classifiers often depends on the availability of labeled examples.

Using the same labeled examples for different scenarios might degrade the system performance.

Acquiring them as labeled examples will probably improve the model's detection capabilities.

Co-training first learns a separate classifier for each base learner using labeled examples.

These learning strategies usually require a large set of labeled examples which can be expensive to obtain.

Before labeling, they are briefed on the definition and trained on a number of real labeled examples.

The present phase of Machine Learning is characterized by supervised learning algorithms relying on large sets of labeled examples (n→∞).