We present an overview of current research in performance modeling, focusing on efforts underway in the Performance Evaluation Research Center (PERC). Using some new techniques, w...
During design exploration, many implementations of the same system specification may need to be evaluated. In this paper, we present an approach to construct sufficient and nece...
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
In this paper we propose a method for predicting the consequences of adding new components to an existing product line in the real-time systems domain. We refer to such a predicti...