Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
The Lego Mindstorms Robot Command eXplorer (RCX) is a popular robotics kit that provides an immediate "out-of-the-box" opportunity to explore software controlled robot i...
Modern microprocessor designs continue to obtain impressive performance gains through increasing clock rates and advances in the parallelism obtained via micro-architecture design...
This paper evaluates how much extended dictionary-based code compression techniques can reduce the static code size. In their simplest form, such methods statically identify ident...