Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2017

Front Matter ....Pages I-VII
 Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks  (Fazel Ansari, Robert Glawar, Wilfried Sihn)....Pages 1-8
 Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors  (Martin Lachmann, Tilman Stark, Martin Golz, Eberhard Manske)....Pages 9-16
 Differential Evolution in Production Process Optimization of Cyber Physical Systems  (Katharina Giese, Jens Eickmeyer, Oliver Niggemann)....Pages 17-23
 Machine Learning for Process-X: A Taxonomy  (Felix Reinhart, Sebastian von Enzberg, Arno Kühn, Roman Dumitrescu)....Pages 25-33
 Intelligent edge processing  (Ljiljana Stojanovic)....Pages 35-42
 Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.  (Andreas Bunte, Peng Li, Oliver Niggemann)....Pages 43-51
 Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis  (Marta Fullen, Peter Schüller, Oliver Niggemann)....Pages 53-61
 Verstehen von Maschinenverhalten mit Hilfe von Machine Learning  (Heinrich Warkentin, Meike Wocken, Alexander Maier)....Pages 63-71
 Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures  (Carlos Paiz Gatica, Marco Platzner)....Pages 73-80
 The Acoustic Test System for Transmissions in the VW Group  (Thomas Lewien, Ivan Slimak, Pyare Püschel)....Pages 81-87