Sentence examples for unlabeled data from inspiring English sources

The transfer learning approach proposed by Prettenhofer [91] addresses the heterogeneous scenario of a source domain containing labeled and unlabeled data, and a target domain containing unlabeled data.

phishGILLNET3 is the only method that handles unlabeled data.

We explore the trade-off maximizing a generative likelihood of labeled and unlabeled data.

Second, since SSL exploits unlabeled data, the accuracy of classifiers is generally improved.

Training process generates unlabeled data that are used to retrain the TSVM classifier for testing phase.

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

These are often generated as a chronologically ordered unlabeled data flow which exceeds usual storage and processing capacities.

Typical semi-supervised learning refers to the use of both labeled and unlabeled data during training.

The term F l y, S lu) stands for the inconsistency between labeled and unlabeled data.

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

The BGEN method trains a kernel classifier using both labeled and unlabeled data.