Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
The national importance of creating "content reflecting cutting edge developments in STEM fields" has been recognized the National Science Foundation. The National Resea...
The reusing of Intellectual Property cores has been an alternative to the increasing gap between design productivity and chip complexity of emerging System-on-chip (SoC) designs. ...
Involving stakeholders at an early stage of learning environment design enables researchers to base a system around the needs of learners. By working directly with learners, resear...
Students learn more through hands-on project experience for computer science courses such as operating systems, but providing the infrastructure support for a large class to learn...