Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
— This paper presents models for estimating the transition activity of signals at the output of adders in Field Programmable Gate Arrays (FPGAs), given only word-level measures o...
Jonathan A. Clarke, George A. Constantinides, Pete...
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
We explore the capabilities of a robotic sensing system designed to locate objects underwater through active movement of an electric field emitter and sensor apparatus. The system ...
James R. Solberg, Kevin M. Lynch, Malcolm A. MacIv...