We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Competition for shared memory resources on multiprocessors is the most dominant cause for slowing down applications and makes their performance varies unpredictably. It exacerbate...
Di Xu, Chenggang Wu, Pen-Chung Yew, Jianjun Li, Zh...
To use their pool of resources efficiently, distributed stream-processing systems push query operators to nodes within the network. Currently, these operators, ranging from simple...
Peter R. Pietzuch, Jonathan Ledlie, Jeffrey Shneid...
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...