In the past the evaluation of machine translation systems has focused on single system evaluations because there were only few systems available. But now there are several commerc...
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
One of the most challenging tasks for uniformed service personnel serving in foreign countries is effective verbal communication with the local population. To remedy this problem,...
Brian A. Weiss, Craig Schlenoff, Greg Sanders, Mic...
Since treebanks have become available to researchers a wide variety of techniques has been used to make broad coverage parsing systems. This makes quantitative evaluation very imp...