Matthias Rychetsky

Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties

Radu Dogaru, Manfred Glesner, Marinel Alangiu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

On the variance reduction of neural networks-experimental results for an automotive application

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Pruning and Regularization Techniques for Feed Forward Nets Applied on a Real World Data Base

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, 1998, NC.

Algorithms and architectures for machine learning based on regularized neural netwoks and support vector approaches

Matthias Rychetsky, M. Rychetsky, 2001 .

Accelerated training of support vector machines

Manfred Glesner, Michael Ullmann, Matthias Rychetsky, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Distributed conference call with speech coders

Karl Hellwig, Matthias Rychetsky, Peter Bloecher, 2002 .

Advanced hardware and software architectures for computational intelligence-application to a real world problem

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, 1998, Proceedings. 24th EUROMICRO Conference (Cat. No.98EX204).

Direct Bayes Point Machines

John Shawe-Taylor, Manfred Glesner, Matthias Rychetsky, 2000, ICML.

Support vector approaches for engine knock detection

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Constructive Learning of a Sub-Feature Detector Network by Means of Prediction Risk Estimation

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, 1998, NC.

Correlation and Regression based Neuron Pruning Strategies

Manfred Glesner, Matthias Rychetsky, Stefan Ortmann, .