A novel approach to calculate the generalization error of the support vector machines and a new support vector machine–nonsymmatic support vector machine–is proposed here. Our ...
This paper deals with the more recent results obtained by the application of the CSLU Toolkit frame-based hybrid HMM/ANN architecture on the connected digit recognition task for t...
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimiz...
We present a setup to control a four- nger anthropomorphic robot hand using a dataglove. To be able to accurately use the dataglove we implemented a nonlinear learning calibration...
Max Fischer, P. Patrick van der Smagt, Gerd Hirzin...