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ACL
2010
15 years 4 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
16 years 7 days ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
IPPS
2006
IEEE
16 years 20 days ago
Exploiting programmable network interfaces for parallel query execution in workstation clusters
Workstation clusters equipped with high performance interconnect having programmable network processors facilitate interesting opportunities to enhance the performance of parallel...
V. Santhosh Kumar, Matthew J. Thazhuthaveetil, R. ...
ICUMT
2009
15 years 4 months ago
Free-CLASH - improved localization-free clustering in large wireless sensor networks
This paper investigates topology management of large wireless sensor networks. Due to their random deployment, nodes have to organize themselves as energy efficient as possible to ...
Jakob Salzmann, Ralf Behnke, Jiaxi You, Dirk Timme...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 8 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong