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ORCIDMatthias Rychetsky
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2000 – 2009
- 2001
[b1]Matthias Rychetsky:
Algorithms and architectures for machine learning based on regularized neural netwoks and support vector approaches. Darmstadt University of Technology, Germany, Shaker 2001, ISBN 978-3-8265-9640-7, pp. 1-242- 2000
- [c8]Matthias Rychetsky, John Shawe-Taylor, Manfred Glesner:
Direct Bayes Point Machines. ICML 2000: 815-822
1990 – 1999
- 1999
- [c7]Radu Dogaru, Marinel Alangiu, Matthias Rychetsky, Manfred Glesner:
Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties. IJCNN 1999: 862-867 - [c6]Matthias Rychetsky, Stefan Ortmann, Manfred Glesner:
Support vector approaches for engine knock detection. IJCNN 1999: 969-974 - [c5]Matthias Rychetsky, Stefan Ortmann, Michael Ullmann, Manfred Glesner:
Accelerated training of support vector machines. IJCNN 1999: 998-1003 - [c4]Stefan Ortmann, Matthias Rychetsky, Manfred Glesner:
On the variance reduction of neural networks-experimental results for an automotive application. IJCNN 1999: 3356-3360 - 1998
- [c3]Manfred Glesner, Matthias Rychetsky, Stefan Ortmann:
Advanced Hardware and Software Architectures for Computational Intelligence: Application to a Real World Problem. EUROMICRO 1998: 21068- - [c2]Matthias Rychetsky, Stefan Ortmann, Manfred Glesner:
Pruning and Regularization Techniques for Feed Forward Nets Applied on a Real World Data Base. NC 1998: 603-609 - [c1]Stefan Ortmann, Matthias Rychetsky, Manfred Glesner:
Constructive Learning of a Sub-Feature Detector Network by Means of Prediction Risk Estimation. NC 1998: 995-1001
Coauthor Index
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