When proxy-driven learning is no better than random: The consequences of representational incompleteness
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DOI: 10.1371/journal.pone.0271268
Abstract: Machine learning is widely used for personalisation, that is, to tune systems with the aim of adapting their behaviour to the responses of humans. This tuning relies on quantified features that capture the human actions,… read more here.
Keywords: machine learning; better random; proxy driven; incompleteness ... See more keywords