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ACL
2011
14 years 10 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
CVPR
2012
IEEE
13 years 8 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
HPDC
2012
IEEE
13 years 8 months ago
Exploring the performance and mapping of HPC applications to platforms in the cloud
This paper presents a scheme to optimize the mapping of HPC applications to a set of hybrid dedicated and cloud resources. First, we characterize application performance on dedica...
Abhishek Gupta, Laxmikant V. Kalé, Dejan S....
ICPADS
2005
IEEE
15 years 12 months ago
An Efficient Partition-Based Parallel PageRank Algorithm
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
Bundit Manaskasemsak, Arnon Rungsawang
HICSS
1999
IEEE
111views Biometrics» more  HICSS 1999»
15 years 10 months ago
T Spaces: The Next Wave
Millions of small heterogeneous computers are poised to spread into the infrastructure of our society. Though mostly inconspicuous today, disguised as nothing more than PIM (perso...
Tobin J. Lehman, Stephen W. McLaughry, Peter Wycko...