The model of bulk-synchronous parallel computation (BSP) helps to implement portable general purpose algorithms while keeping predictable performance on different parallel compute...
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Abstract. Type-directed partial evaluation is a new approach to program specialization for functional programming languages. Its merits with respect to the traditional offline part...
In this paper we describe a new algorithm focused on obtaining stationary foreground regions, which is useful for applications like the detection of abandoned/stolen objects and p...
We present an approach to anaphora resolution based on a focusing algorithm, and implemented within an existing MUC (Message Understanding Conference) Information Extraction syste...
Saliha Azzam, Kevin Humphreys, Robert J. Gaizauska...