For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Interconnect networks play a critical role in shared memory multiprocessor systems-on-chip (MPSoC) designs. MPSoC performance and power consumption are greatly affected by the pac...
RTL power macromodeling is a mature research topic with a variety of equation and table-based approaches. Despite its maturity, macromodeling is not yet widely accepted as an indu...
Felipe Klein, Guido Araujo, Rodolfo Azevedo, Rober...
Network emulation systems are widely used to explore the behavior of network protocols and to test and evaluate protocol implementations and applications. The major problem of net...