— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
: Attention to the specific characteristics of rather unstructured processes and the consequences for the modeling of these processes can only rarely be observed. This paper presen...
This paperpresents the Compaantool that automatically transforms a nestedloopprogram written in Matlab into a processnetwork specification. The processnetworkmodelof computation...
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...