We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
Application specific systems have potential for customization of design with a view to achieve a better costperformance-power trade-off. Such customization requires extensive de...
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
—With the aim to minimize boarding time and devise procedures for boarding strategies, this paper develop the synthesis of Improved Genetic Algorithms and simulation. This paper ...
Recent work has shown that multithreaded workloads running in execution-driven, full-system simulation environments cannot use instructions per cycle (IPC) as a valid performance ...