7 Publikationen

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[7]
2018 | Bielefelder E-Dissertation | PUB-ID: 2916683
Learning in the Model Space of Neural Networks
Aswolinskiy W (2018)
Bielefeld: Universität Bielefeld.
PUB | Datei
 
[6]
2017 | Zeitschriftenaufsatz | PUB-ID: 2907674
Modeling of Parametrized Processes via Regression in the Model Space of Neural Networks
Aswolinskiy W, Reinhart F, Steil JJ (2017)
Neurocomputing.
PUB
 
[5]
2017 | Konferenzbeitrag | PUB-ID: 2914141
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results
Aswolinskiy W, Hammer B (2017)
In: Proceedings of the Workshop on New Challenges in Neural Computation (NC2). Machine Learning Reports, 03/2017. Bielefeld: Universität Bielefeld, CITEC.
PUB | PDF
 
[4]
2016 | Konferenzbeitrag | PUB-ID: 2905368
Time Series Classification in Reservoir- and Model-Space: A Comparison
Aswolinskiy W, Reinhart F, Steil JJ (2016)
In: Proceedings of the 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
PUB | DOI
 
[3]
2016 | Konferenzbeitrag | PUB-ID: 2900970
Modelling of Parameterized Processes via Regression in the Model Space
Aswolinskiy W, Reinhart F, Steil JJ (2016)
In: Proceedings of 24th European Symposium on Artificial Neural Networks. 53-58.
PUB | PDF
 
[2]
2016 | Konferenzbeitrag | PUB-ID: 2905366
Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks
Aswolinskiy W, Steil JJ (2016)
In: Proceedings of the Workshop on New Challenges in Neural Computation. Machine Learning Reports. .
PUB | PDF
 
[1]
2015 | Konferenzbeitrag | PUB-ID: 2900720
Impact of Regularization on the Model Space for Time Series Classification
Aswolinskiy W, Reinhart F, Steil JJ (2015)
In: New Challenges in Neural Computation (NC2). 49-56.
PUB | PDF
 

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7 Publikationen

Alle markieren

[7]
2018 | Bielefelder E-Dissertation | PUB-ID: 2916683
Learning in the Model Space of Neural Networks
Aswolinskiy W (2018)
Bielefeld: Universität Bielefeld.
PUB | Datei
 
[6]
2017 | Zeitschriftenaufsatz | PUB-ID: 2907674
Modeling of Parametrized Processes via Regression in the Model Space of Neural Networks
Aswolinskiy W, Reinhart F, Steil JJ (2017)
Neurocomputing.
PUB
 
[5]
2017 | Konferenzbeitrag | PUB-ID: 2914141
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results
Aswolinskiy W, Hammer B (2017)
In: Proceedings of the Workshop on New Challenges in Neural Computation (NC2). Machine Learning Reports, 03/2017. Bielefeld: Universität Bielefeld, CITEC.
PUB | PDF
 
[4]
2016 | Konferenzbeitrag | PUB-ID: 2905368
Time Series Classification in Reservoir- and Model-Space: A Comparison
Aswolinskiy W, Reinhart F, Steil JJ (2016)
In: Proceedings of the 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
PUB | DOI
 
[3]
2016 | Konferenzbeitrag | PUB-ID: 2900970
Modelling of Parameterized Processes via Regression in the Model Space
Aswolinskiy W, Reinhart F, Steil JJ (2016)
In: Proceedings of 24th European Symposium on Artificial Neural Networks. 53-58.
PUB | PDF
 
[2]
2016 | Konferenzbeitrag | PUB-ID: 2905366
Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks
Aswolinskiy W, Steil JJ (2016)
In: Proceedings of the Workshop on New Challenges in Neural Computation. Machine Learning Reports. .
PUB | PDF
 
[1]
2015 | Konferenzbeitrag | PUB-ID: 2900720
Impact of Regularization on the Model Space for Time Series Classification
Aswolinskiy W, Reinhart F, Steil JJ (2015)
In: New Challenges in Neural Computation (NC2). 49-56.
PUB | PDF
 

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