Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Many DTM schemes rely heavily on the accurate knowledge of the chip's dynamic thermal state to make optimal performance/ temperature trade-off decisions. This information is ...
In this work we present an initial performance evaluation of Intel's latest, secondgeneration quad-core processor, Nehalem, and provide a comparison to first-generation AMD a...
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren ...
The centralized system approach for computer and telecommunication network management has been presenting scalability problems along with the growth in the number and diversity of...