This paper demonstrates the power of aspect-orientation by implementing the EJB3.0 persistence framework. Our approach has advantages over existing mapping tools: Flexibility is h...
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
— Gravity model used to model transport flow has proven invaluable in urban planning. Some recent work has proposed to use gravity model to predict user movements in cellular net...
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...