J?rgen Beyerer, Oliver Niggemann




Machine Learning for Cyber Physical Systems


Includes the full proceedings of the 2015 ML4CPS ? Machine Learning for Cyber Physical Systems ConferencePresents recent and new advances in automated machine learning methodsProvides an accessible and succinct overview on machine learning for cyber physical systems


Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-662-48838-6 (eBook)
  • Book: 978-3-662-48836-2 (Book)

  • Related objects


  • Ostwestfalen-Lippe University Of Applied Sciences
  • Fraunhofer Society


  • BookChapter: Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks
  • BookChapter: Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation
  • BookChapter: Towards Optimized Machine Operations by Cloud Integrated Condition Estimation
  • BookChapter: Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control
  • BookChapter: Kognitive Architektur zum Konzeptlernen in technischen Systemen
  • BookChapter: Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems
  • BookChapter: Machine-specific Approach for Automatic Classification of Cutting Process Efficiency
  • BookChapter: Towards a novel learning assistant for networked automation systems
  • BookChapter: Efficient Image Processing System for an Industrial Machine Learning Task
  • BookChapter: Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation
  • BookChapter: Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases
  • BookChapter: Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach
  • BookChapter: Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems
  • BookChapter: Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission


  • Knowledge Management
  • Data Mining And Knowledge Discovery
  • Engineering
  • Computational Intelligence

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    23 TRIPLES      18 PREDICATES      24 URIs      13 LITERALS

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    3 sg:copyrightHolder Springer-Verlag Berlin Heidelberg
    4 sg:copyrightYear 2016
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    6 sg:description <div>Includes the full proceedings of the 2015 ML4CPS ? Machine Learning for Cyber Physical Systems Conference</div><div><br></div><div>Presents recent and new advances in automated machine learning methods<br></div><div><br></div><div>Provides an accessible and succinct overview on machine learning for cyber physical systems<br></div>
    7 sg:editionNumber 1
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    16 sg:language En
    17 sg:license
    18 sg:publisher Springer Berlin Heidelberg
    19 sg:scigraphId 1c6c56b6ae1936ffc092d78725d65e35
    20 sg:subtitle Selected papers from the International Conference ML4CPS 2015
    21 sg:title Machine Learning for Cyber Physical Systems
    22 rdf:type sg:BookEdition
    23 rdfs:label BookEdition: Machine Learning for Cyber Physical Systems

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