
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Published on 2014-10-071643 Views
We consider the problem of offline, pool-based active semi-supervised learning on graphs. This problem is important when the labeled data is scarce and expensive whereas unlabeled data is easily avail