In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
Service overlay networks have recently attracted tremendous interests. In this paper, we propose a new integrated framework for specifying services composed of service components ...
New embedded signal processing architectures are emerging that are composed of loosely coupled heterogeneous components like CPUs or DSPs, specialized IP cores, reconfigurable uni...
We present the background and justi cation for a new approachto studying computation and computational complexity. We focus on categories of problems and categories of solutions w...
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...