%0 Book %1 ML4CPS2015 %B Technologien für die intelligente Automation/Technologies for Intelligent Automation %C Berlin %D 2016 %E Niggemann, Oliver %E Beyerer, Jürgen %I Springer Vieweg %K 01624 103 springer book conference embedded ai factory engineering system device network learn zzz.cps %R 10.1007/978-3-662-48838-6 %T Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015 %V 1 %X The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS -- Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. %@ 978-3-662-48836-2

@book{ML4CPS2015, abstract = {The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS -- Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.}, added-at = {2017-01-14T18:30:09.000+0100}, address = {Berlin}, biburl = {https://www.bibsonomy.org/bibtex/226889aa58f5072e2aaa7b1f509c0acbe/flint63}, doi = {10.1007/978-3-662-48838-6}, editor = {Niggemann, Oliver and Beyerer, J\"{u}rgen}, file = {SpringerLink:2015/ML4CPS2015.pdf:PDF;Springer Product page:http\://www.springer.com/978-3-662-48836-2:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3662488361/:URL}, groups = {public}, interhash = {e5109b1a4855e9fb08b00c20843b799e}, intrahash = {26889aa58f5072e2aaa7b1f509c0acbe}, isbn = {978-3-662-48836-2}, keywords = {01624 103 springer book conference embedded ai factory engineering system device network learn zzz.cps}, publisher = {Springer Vieweg}, series = {Technologien f\"{u}r die intelligente Automation/Technologies for Intelligent Automation}, timestamp = {2017-07-13T17:10:33.000+0200}, title = {Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015}, username = {flint63}, volume = 1, year = 2016 }