Dynamic noise analysis is greatly needed in place of traditional static noise analysis due to the ever increasingly stringent design requirement for VLSI chips based on very deep ...
This paper presents an EMG diagnostic Knowledge Based System, that is the first application of our methodology for reasoning with causal-functional (meta-)models. Despite past diff...
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
When estimating the dynamic power dissipated by a circuit dierent methods ranging from numeric analog simulation to event-driven logic simulation have been proposed. However, as ...
Abelardo Pardo, R. Iris Bahar, Srilatha Manne, Pet...
We propose in this paper a general framework for integrating inductive and case-based reasoning techniques for diagnosis tasks. We present a set of practical integrated approaches...