Most deep learning research focuses on learning a single task at a time – on a fixed problem, given an input, predict the corresponding output. How should we handle problems where the task is not ...

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

Presented in this paper is a technique for determining the relative effects of the internal speed of the computer and the speed of the input-output units upon the overall speed of the system.

A fundamental problem in real-time computing is handling device input and output in a timely manner. For example, a control system might require input data from a sensor to be sampled and processed at ...

We research practical methods for measurement-based performance evaluation of heterogeneous data communication networks that support mobile application-data flows. We apply the lightweight Comparative ...

Throughput refers to what healthcare providers actually do with a patient and output is how patients move to the next phase of their care.

Objective Emergency department (ED) crowding impacts negatively on quality of care. The aim was to determine the association between ED quality and input, throughput and output-associated variables.