In this paper, we present COSMOS, a novel architecture for macroprogramming heterogeneous sensor network systems. Macroprogramming entails aggregate system behavior specification...
In this paper, we identify a new problem in wireless sensor networks, distance sensitive service discovery, where nearby or closest service selection guarantee is expected. We pro...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
Wireless sensor networks are rapidly finding their way through a plethora of new applications like precision farming and forestry, with increasing network scale, system complexit...
Bucket testing, also known as A/B testing, is a practice that is widely used by on-line sites with large audiences: in a simple version of the methodology, one evaluates a new fea...