Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
A recent paper [8] presented methods for several steps along the road to synthesis of realistic traffic matrices. Such synthesis is needed because traffic matrices are a crucial i...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Background: DNA sequence polymorphisms analysis can provide valuable information on the evolutionary forces shaping nucleotide variation, and provides an insight into the function...
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...