Maschinelle Lernverfahren für nieder- und hochdimensionale Probleme

Abstract

In this habilitation thesis, problems in two different domains (record linkage and high-dimensional data) are addressed by using machine learning approaches. The assumption is that they lead to insights and solutions to which it would be difficult or even impossible to arrive with deterministic and classical statistical methods