Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
The data migration problem is the problem of computing a plan for moving data objects stored on devices in a network from one configuration to another. Load balancing or changing u...
Eric J. Anderson, Joseph Hall, Jason D. Hartline, ...
The digital revolution has transformed the accumulation of properly curated public research data into an essential upstream resource whose value increases with use.1 The potential...
The Plasma Posters are large screen, digital, interactive posterboards designed for informal content sharing within teams, groups, organizations and communities. Leveraging the fa...
Elizabeth F. Churchill, Les Nelson, Laurent Denoue...
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...