The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
High-level synthesis (HLS) has been successfully targeted towards the digital signal processing (DSP) domain. Both application-specic integrated circuits (ASICs) and application-...
As embedded applications are getting more complex, they are also demanding highly diverse computational capabilities. The majority of all previously proposed reconfigurable archite...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...