We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
We describe the application of simulation and statistical analyses to the improvement of a shipping and distribution system supporting a component-fabrication plant and two automo...
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
This paper describes a strategy for modeling and engineering complex e-business systems with built-in quality of adaptiveness. The paper explains the philosophical and scientific ...
Predictive models of destinations represent an opportunity in the context of the increasing availability and sophistication of in-car driving aids. We present analyses of driversâ€...