Open challenges for Machine Learning based Early Decision-Making research. (arXiv:2204.13111v1 [cs.LG])

More and more applications require early decisions, i.e. taken as soon as
possible from partially observed data. However, the later a decision is made,
the more its accuracy tends to improve, since the description of the problem to
hand is enriched over time. Such a compromise between the earliness and the
accuracy of decisions has been particularly studied in the field of Early Time
Series Classification. This paper introduces a more general problem, called
Machine Learning based Early Decision Making …

arxiv challenges decision learning machine machine learning making research