Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
In this paper, we propose the HEC-PF scheme, an enhancement of our previous H-EC scheme for effective data forwarding in opportunistic networks. The enhanced scheme modifies the a...
This paper proposes a test architecture aimed at reducing test time of distributed small embedded SRAMs (eSRAMs). This architecture improves the one proposed in [4, 5]. The improv...
In parallel adaptive mesh refinement (AMR) computations the problem size can vary significantly during a simulation. The goal here is to explore the performance implications of dyn...