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» Optimizing Queries Across Diverse Data Sources
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AAAI
2012
13 years 4 days ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
CCGRID
2008
IEEE
15 years 4 months ago
Optimized Distributed Data Sharing Substrate in Multi-core Commodity Clusters: A Comprehensive Study with Applications
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
Karthikeyan Vaidyanathan, Ping Lai, Sundeep Narrav...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
BMCBI
2006
183views more  BMCBI 2006»
14 years 9 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
PDIS
1996
IEEE
15 years 1 months ago
Scrambling Query Plans to Cope With Unexpected Delays
Accessing data from numerous widely-distributed sources poses signi cant new challenges for query optimization and execution. Congestion and failures in the network can introduce ...
Laurent Amsaleg, Michael J. Franklin, Anthony Toma...