Sentence examples similar to machine-generated labeled data from inspiring English sources

In particular, we annotate a number of Flickr groups as either topical or social and we match this ground truth with the machine-generated labels, showing that the socio-topical metrics, combined with a machine-learning approach, predict the group type with high accuracy.

We have presented a general framework for building machine learning models without labeled data.

This involves feeding a machine massive amounts of carefully labeled data to train it to recognize a narrowly defined pattern.

Like many other machine learning algorithms, however, the availability of more labeled data leads to better performance.

Supervised machine learning algorithms typically perform well when large amounts of labeled data are available.

We used hand labeled data to train linear Support Vector Machine (SVM) classifiers for each feature and each view (side and bottom) independently.

In machine learning applications, it is often easier to accumulate unlabeled data than labeled data.

Traditional machine learning approaches to genome annotation typically rely on large amounts of labeled data.

In the field of machine learning and data mining, we always expect to collect a large amount of labeled data to build a powerful model.

The algorithm realizes the tenet of 'the more labeled data, the better prediction' which would be applied to most machine learning algorithms.

Recently, many machine learning researchers have found that unlabeled data, when used in conjunction with a small amount of labeled data, can produce considerable improvement in learning accuracy.