PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

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

  PUB | Datei
   
• [6]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907674

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

  PUB
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914141

  W. Aswolinskiy and B. Hammer, “Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results”, Proceedings of the Workshop on New Challenges in Neural Computation (NC2), Machine Learning Reports, vol. 03/2017, Bielefeld: Universität Bielefeld, CITEC, 2017.

  PUB | PDF
   
• [4]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905368

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

  PUB | DOI
   
• [3]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900970

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

  PUB | PDF
   
• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905366

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

  PUB | PDF
   
• [1]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900720

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

  PUB | PDF