This poster paper presents a work in progress in the new emerging area of electronic services (e-services). The networked home with refrigerators and washing machines connected to...
Recent operating systems [12, 21, 26] have shown that decentralized information flow control (DIFC) can secure applications built from mostly untrusted code. This paper extends DI...
Nickolai Zeldovich, Silas Boyd-Wickizer, David Maz...
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...