A Primer on Domain Adaptation

27 Jan 2020 Pirmin Lemberger Ivan Panico

Standard supervised machine learning assumes that the distribution of the source samples used to train an algorithm is the same as the one of the target samples on which it is supposed to make predictions. However, as any data scientist will confirm, this is hardly ever the case in practice... (read more)

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