Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
A significant open issue in cloud computing is performance. Few, if any, cloud providers or technologies offer quantitative performance guarantees. Regardless of the potential adv...
Zach Hill, Jie Li, Ming Mao, Arkaitz Ruiz-Alvarez,...
During the last decade, software transactional memory (STM) gained wide popularity in many areas of parallel computing. In this paper, we introduce LISP-derived language equipped ...
This article introduces the notion of agreement patterns, which provide a framework for modelling reusable
problem solution descriptions for agreement fulfilment. In particular, t...
A number of recent articles in computational linguistics venues called for a closer examination of the type of noise present in annotated datasets used for benchmarking (Reidsma a...