Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
—Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern highperformance applications. To optimize metrics like performance, memory us...
Abstract. We introduce the concept of future values. Using future values it is possible to represent programs in a new control-flow form such that on any control flow path the data...
Abstract--Test cost minimisation approaches have traditionally been devoted to minimising "execution costs", while maximising coverage or reliability. However, in a runti...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...