Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Background: That the structure determines the function of proteins is a central paradigm in biology. However, protein functions are more directly related to cooperative effects at...
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
A general volume rendering technique is described that efficiently produces images of excellent quality from data defined over irregular grids having a wide variety of formats. Re...
Jane Wilhelms, Allen Van Gelder, Paul Tarantino, J...
In this paper, we consider a large scale sensor network comprising multiple, say K, base stations and a large number of wireless sensors. Such an infrastructure is expected to be ...