In model based design model fragments are used in everyday work. Concurrent operations on separate parts of a model and communication between stakeholders are some examples. Howeve...
In this paper we construct an associative memory model based on the restricted Coulomb energy (RCE) network. We propose a simple architecture and training algorithm for this RCE-b...
Xiaoyan Mu, Mehmet Artiklar, Paul Watta, Mohamad H...
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Dynamic power management in enterprise environments requires an understanding of the relationship between resource utilization and system-level power consumption. Power models bas...