Found 11 results[ Author] Title Type Year
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Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.. 2016.
Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.. 2017.
Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.. 2015.
Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.. 2016.
Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.. 2016.
Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters.. 2017.
A simplified intelligent controller for ball and beam system. IEEE 2nd International Conference on Education Technology and Computer.. 2010.
Fuzzy logic control of ball and beam system. IEEE 2nd International Conference on Education Technology and Computer.. 2010.
Identifying the relevant frames of reference in programming by demonstration using task-parameterized Gaussian mixture regression. 2016 IEEE/SICE International Symposium on System Integration (SII).. 2016.
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).. 2016.
Development of a low cost thermal feedback system for basic control education. IEEE 14th International Multitopic Conference.. 2011.