Speaker
Mirko Bunse
(Artificial Intelligence Unit, Computer Science VIII, TU Dortmund University)
Description
Unfolding corrects measurements of distributions if these measurements are affected by distortions and limited acceptance of the detector. We show that Computer Science knows unfolding under a different term, as "quantification learning" or as "class prior estimation". Through this connection, we use advancements made in Computer Science, both concerning the theoretical understanding of the problem and concerning novel methods, to unfold measurements of distributions with greater success.
