ARTISST (ARTISST is a Real-Time System Simulation Tool) is a modular event-driven simulation framework for real-time systems. It is targeted towards the performance evaluation of ...
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
We present a set of models for simulating vegetation dynamics in disturbance-prone ecosystems with different complexity levels, integrated in a modelling environment for generatin...
This paper advocates the main ideas of the interactive model of representation of Mark Bickhard and the assimilation/accommodation framework of Jean Piaget, through a rhythm recog...
We analyze the I/O behavior of iBench, a new collection of productivity and multimedia application workloads. Our analysis reveals a number of differences between iBench and typic...
Tyler Harter, Chris Dragga, Michael Vaughn, Andrea...