Browsing Year-2018 by Subject "Feature transformation"

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Label space driven feature space remapping

Sukhija, S. (2018-11-13)

The elicitation of labeled training data from physical sources is a primary bottleneck that limits the applicability of traditional supervised learning algorithms. Transfer learning algorithms overcome the limitation ...
Supervised heterogeneous transfer learning using random forests

Sukhija, S.; Krishnan, N.C.; Kumar, D. (2018-12-20)

Supervised transfer learning algorithms utilize labeled data from auxiliary domains for learning in another domain where labeled data is scarce or absent. Given sufficient cross-domain corresponding instances, one can ...

Now showing items 1-2 of 2

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