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Bunse/Morik/2019a: What Can We Expect from Active Class Selection?

Bibtype Inproceedings
Bibkey Bunse/Morik/2019a
Author Bunse, Mirko and Morik, Katharina
Editor Jäschke, Robert and Weidlich, Matthias
Title What Can We Expect from Active Class Selection?
Booktitle Lernen, Wissen, Daten, Analysen (LWDA) conference proceedings
Series {CEUR} Workshop Proceedings
Volume 2454
Pages 79--83
Abstract The promise of active class selection is that the proportions of classes can be optimized in newly acquired data. In this short paper, we take a step towards the identification of properties that data sets must meet in order to make active class selection (potentially) successful. Also, we compare the conceivable benefit of active class selection to that of active learning and we identify open research issues. It becomes apparent that active class selection is a tough task, in which informed strategies often exhibit only minor improvements over random sampling.
Month 09
Year 2019
Projekt SFB876-C3
Url http://ceur-ws.org/Vol-2454/paper_17.pdf
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