Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
For high data rate ultra wideband communication system, performance comparison of Rake, MMSE and RakeMMSE receivers is attempted in this paper. The effect of the number of Rake fin...
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
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...