In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Based on a comparative study of cooperative work practices at two oncology clinics, the paper shows that work practices across these otherwise comparable settings vary significant...
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
Jae-Yoon Jung, Janice I. Glasgow, Stephen H. Scott
Abstract. We discuss the challenges faced by bytecode analyzers designed for code verification compared to similar analyzers for source code. While a bytecode-level analysis brings...
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...