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129
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ILP
2004
Springer
15 years 8 months ago
Improving Rule Evaluation Using Multitask Learning
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...
Mark D. Reid
126
Voted
EMNLP
2007
15 years 4 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
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...
Marine Carpuat, Dekai Wu
101
Voted
EUC
2007
Springer
15 years 9 months ago
On Using Probabilistic Forwarding to Improve HEC-Based Data Forwarding in Opportunistic Networks
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...
Ling-Jyh Chen, Cheng-Long Tseng, Cheng-Fu Chou
127
Voted
DFT
2004
IEEE
101views VLSI» more  DFT 2004»
15 years 6 months ago
Designs for Reducing Test Time of Distributed Small Embedded SRAMs
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...
Baosheng Wang, Yuejian Wu, André Ivanov
115
Voted
EWC
2008
117views more  EWC 2008»
15 years 2 months ago
Performance of parallel computations with dynamic processor allocation
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...
Saeed Iqbal, Graham F. Carey