We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
Abstract-- Modeling the intermolecular reactions in a single cell is a critical problem in computational biology. Biochemical reaction systems often involve species in both low and...
In this paper we describe several novel sparsification techniques used in a Fast Stochastic Integral Equation Solver to compute the mean value and the variance of capacitance of ...
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
Abstract Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the model...