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ICMLC
2010
Springer
13 years 3 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 5 months ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...
ICDE
2010
IEEE
266views Database» more  ICDE 2010»
13 years 5 months ago
Ranking for data repairs
Abstract— Improving data quality is a time-consuming, laborintensive and often domain specific operation. A recent principled approach for repairing dirty database is to use dat...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
BMCBI
2010
164views more  BMCBI 2010»
13 years 2 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
DATE
2005
IEEE
109views Hardware» more  DATE 2005»
13 years 11 months ago
ISEGEN: Generation of High-Quality Instruction Set Extensions by Iterative Improvement
Customization of processor architectures through Instruction Set Extensions (ISEs) is an effective way to meet the growing performance demands of embedded applications. A high-qua...
Partha Biswas, Sudarshan Banerjee, Nikil D. Dutt, ...