PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2018 | Bielefelder E-Dissertation | PUB-ID: 2916683

  Aswolinskiy, W., 2018. Learning in the Model Space of Neural Networks, Bielefeld: Universität Bielefeld.

  PUB | Datei
   
• [6]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907674

  Aswolinskiy, W., Reinhart, F., & Steil, J.J., 2017. Modeling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing.

  PUB
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914141

  Aswolinskiy, W., & Hammer, B., 2017. Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results. In Proceedings of the Workshop on New Challenges in Neural Computation (NC2). Machine Learning Reports. no.03/2017 Bielefeld: Universität Bielefeld, CITEC.

  PUB | PDF
   
• [4]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905368

  Aswolinskiy, W., Reinhart, F., & Steil, J.J., 2016. Time Series Classification in Reservoir- and Model-Space: A Comparison. In Proceedings of the 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.

  PUB | DOI
   
• [3]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900970

  Aswolinskiy, W., Reinhart, F., & Steil, J.J., 2016. Modelling of Parameterized Processes via Regression in the Model Space. In Proceedings of 24th European Symposium on Artificial Neural Networks. pp. 53-58.

  PUB | PDF
   
• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905366

  Aswolinskiy, W., & Steil, J.J., 2016. Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. In Proceedings of the Workshop on New Challenges in Neural Computation. Machine Learning Reports.

  PUB | PDF
   
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  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900720

  Aswolinskiy, W., Reinhart, F., & Steil, J.J., 2015. Impact of Regularization on the Model Space for Time Series Classification. In New Challenges in Neural Computation (NC2). pp. 49-56.

  PUB | PDF