We present a novel approach for building verb subcategorization lexicons using a simple graphical model. In contrast to previous methods, we show how the model can be trained with...
Thomas Lippincott, Anna Korhonen, Diarmuid Ó...
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
We present a method to index objects moving on the plane in order to efficiently answer range queries about their position in the future. This problem is motivated by real-life a...
Dimitris Papadopoulos, George Kollios, Dimitrios G...
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
This paper presents a programming language for parallel computing based on code annotations. It has similar goals and philosophy as OpenMP but it is more tightly coupled to the ob...