Searched for: mods_note_programme_s:"Pattern%5C+Recognition%5C+Lab"
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document
Van Tulder, G. (author)
Recent advances in importance-weighted active learning solve many of the problems of traditional active learning strategies. But does importance-weighted active learning also produce a reusable sample selection? This thesis explains why reusability can be a problem, how importance-weighted active learning removes some of the barriers to...
master thesis 2012
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Krijthe, J.H. (author)
In order to choose from the large number of classification methods available for use, cross-validation error estimates are often employed. We present this cross-validation selection strategy in the framework of meta-learning and show that conceptually, meta-learning techniques could provide better classifier selections than traditional cross...
master thesis 2012