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Democratic Co-Learning in Machine Learning by Hisler is a document available to read on EtoBox.

What is Democratic Co-Learning in Machine Learning about?

This document presents Democratic Co-Learning, a new single-view semi-supervised learning technique that leverages the fact that different learning algorithms have different biases. It uses multiple algorithms trained on the same labeled data to label unlabeled data for each other, adding data the algorithms disagree on to their training sets. This allows it to make use of unlabeled data when there is only a small amount of labeled data and no redundant feature sets, addressing limitations of previous co-tr

Author

Hisler

Language

EN