PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

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

  PUB | Datei
   
• [6]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907674

  Aswolinskiy, Witali, Reinhart, Felix, and Steil, Jochen 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, Witali, and Hammer, Barbara. 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). Vol. 03/2017. Machine Learning Reports. Bielefeld: Universität Bielefeld, CITEC.

  PUB | PDF
   
• [4]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905368

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

  PUB | PDF
   
• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905366

  Aswolinskiy, Witali, and Steil, Jochen 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
   
• [1]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900720

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

  PUB | PDF