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cs.LG2012
Unsupervised Active Learning in Large Domains
Harald Steck, Tommi S. Jaakkola
Active learning is a powerful approach to analyzing data effectively. We show that the feasibility of active learning depends crucially on the choice of measure with respect to whi…
cs.LG2012
Ranking by Dependence - A Fair Criteria
Harald Steck
Estimating the dependences between random variables, and ranking them accordingly, is a prevalent problem in machine learning. Pursuing frequentist and information-theoretic approa…