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pro vyhledávání: '"Fröhlich Michael"'
The growing use of supervised machine learning in research and industry has increased the need for labeled datasets. Crowdsourcing has emerged as a popular method to create data labels. However, working on large batches of tasks leads to worker fatig
Externí odkaz:
http://arxiv.org/abs/2209.14708
The voluntary carbon market is an important building block in the fight against climate change. However, it is not trivial for consumers to verify whether carbon offset projects deliver what they promise. While technical solutions for measuring their
Externí odkaz:
http://arxiv.org/abs/2204.10858
We present a systematic literature review of cryptocurrency and blockchain research in Human-Computer Interaction (HCI) published between 2014 and 2021. We aim to provide an overview of the field, consolidate existing knowledge, and chart paths for f
Externí odkaz:
http://arxiv.org/abs/2204.10857
Autor:
Froehlich, Michael, Starr, Shannon
We consider two examples for a well-known method for obtaining concentration of measure (COM) bounds for a given observable in a given measure. The method is to consider an auxiliary Markov chain for which the invariant distribution is the measure of
Externí odkaz:
http://arxiv.org/abs/1901.08410
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