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Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde
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Oznake: computer science;data mining;knowledge extraction
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 available. The data points are represented by the vertices of an undirected graph with the similarity bet ...
Leto: 2014 Vir: videolectures.net
Št. zadetkov: 1
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