We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
Data-ferrying disconnection-tolerant networks allow remote rural areas to access the Internet at very low cost, making them viable alternatives to more expensive access technologi...
Data Structure Abstractions for Asynchronous Web Applications Daniel S. Myers MIT CSAIL Jennifer N. Carlisle MIT CSAIL James A. Cowling MIT CSAIL Barbara H. Liskov MIT CSAIL The c...
Daniel S. Myers, Jennifer N. Carlisle, James A. Co...