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Daniel Kottke – Research

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Month: September 2017

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation

2017/09/142019/10/05 Daniel Kottke

by Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl and Bernhard Sick Active learning has the potential to save costs by intelligent use of resources in form of some expert’s knowledge. Nevertheless, these methods are still not established in real-world applications as they can not be evaluated properly in the specific scenario because evaluation data […]

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