Bridging the gap between model-based design and platformbased implementation is one of the critical challenges for embedded software systems. In the context of embedded control sy...
Truong Nghiem, George J. Pappas, Rajeev Alur, Anto...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O...
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...