Robust learning in safety related domains [Elektronische Ressource] : machine learning methods for solving safety related application problems / von Sebastian Nusser

Robust Learning in Safety-RelatedDomainsMachine Learning Methods for SolvingSafety-Related Application ProblemsDissertationzur Erlangung des akademischen GradesDoktoringenieur (Dr.-Ing.)angenommen durch die Fakultat¨ fur¨ Informatikder Otto-von-Guericke-Universitat¨ Magdeburgvon Dipl.-Inform. Sebastian Nusser,geboren am 9. Oktober 1980 in Burg (Magdeburg)Gutachter:Prof. Dr. Rudolf KrusePD Dr. Christian BorgeltPD Dr. Thomas RunklerMagdeburg, 10. Juli 2009Sebastian NusserRobust Learning in Safety-Related Domains – Machine Learning Methods forSolving Safety-Related Application ProblemsDissertation, Otto-von-Guericke-Universitat¨ MagdeburgMagdeburg, 10. Juli 2009AbstractToday, machine learning methods are successfully deployed in a wide range of ap-plications. A multitude of different learning algorithms has been developed in orderto solve classification and regression problems. These common machine learningapproaches are regarded with suspicion by domain experts in safety-related appli-cation fields because it is often infeasible to sufficiently interpret and validate thelearned solutions. Especially for safety-related applications, it is imperative to guar-antee that the learned solution is correct and fulfills all given requirements.