Background: Modern omics research involves the application of high-throughput technologies that generate vast volumes of data. These data need to be pre-processed, analyzed and in...
Mark W. E. J. Fiers, Ate van der Burgt, Erwin Date...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
In this paper we propose an approach to support dynamic or runtime variability in systems that must adapt dynamically to changing runtime context. The approach is founded on refle...
Nelly Bencomo, Gordon S. Blair, Carlos A. Flores-C...
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Initial deployment and subsequent dynamic reconfiguration of a software system is difficult because of the interplay of many interdependent factors, including cost, time, applicat...
Naveed Arshad, Dennis Heimbigner, Alexander L. Wol...