We present a analytical framework to identify the tradeoffs and performance impacts associated with different SoC platform configurations in the specific context of implementing m...
Alexander Maxiaguine, Yongxin Zhu, Samarjit Chakra...
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
This paper presents the design and evaluation of an adaptive system sensitive partitioning and load balancing framework for distributed adaptive mesh re nement applications on het...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
—The limits of application, tuning accuracy and sensitivity of variable IIR digital filters realized as a cascade of several identical sub-filters are investigated in this paper....