Technical University of Berlin, 2017. — 117 p.
Advancing understanding and interpretation of machine learning algorithms has recently been receiving much attention. Although classification systems achieve high prediction accuracies and are used across a wide spectrum of academic fields, they act like a black-box and provide little or no reasoning information about their decisions. However, several applications in science and technology require an explanation of the learned decision function.