As devices are scaled to the nanoscale regime, it is clear that future nanodevices will be plagued by higher soft error rates and reduced noise margins. Traditional implementation...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
- Power estimation in combinational modules is addressed from a probabilistic point of view. The zero-delay hypothesis is considered and under highly correlated input streams, the ...
I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to sat...
This paper presents a self-applicable partial evaluator for a considerable subset of full Prolog. The partial evaluator is shown to achieve non-trivial specialisation and be effect...