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» A New Autocalibration Algorithm: Experimental Evaluation
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KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 2 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
ISSTA
2009
ACM
15 years 8 months ago
Identifying semantic differences in AspectJ programs
Program differencing is a common means of software debugging. Although many differencing algorithms have been proposed for procedural and object-oriented languages like C and Ja...
Martin Th Görg, Jianjun Zhao
BMCBI
2005
112views more  BMCBI 2005»
15 years 1 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
SIGIR
2006
ACM
15 years 8 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
WCE
2007
15 years 3 months ago
A Distributed Energy Efficient Query Processing in Self-Organized Wireless Sensor Networks
—Spatial query execution is an essential functionality of a sensor network. Redundancy within a sensor network can be exploited to reduce the communication cost incurred in execu...
Meer A. Hamza, Sherin M. Youssef, Salma F. Fayed