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» A Variational Approach to Learning Curves
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WSC
1998
13 years 9 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
COMCOM
2006
150views more  COMCOM 2006»
13 years 8 months ago
Adaptive ad hoc self-organizing scheduling for quasi-periodic sensor network lifetime
Wireless sensor networks are poised to revolutionize our abilities in sensing and controlling our environment. Power conservation is a primary research concern for these networks....
Sharat C. Visweswara, Rudra Dutta, Mihail L. Sichi...
JCST
2010
109views more  JCST 2010»
13 years 3 months ago
The Inverse Classification Problem
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
Charu C. Aggarwal, Chen Chen, Jiawei Han
EGC
2005
Springer
14 years 2 months ago
HotGrid: Graduated Access to Grid-Based Science Gateways
Abstract. We describe the idea of a Science Gateway, an applicationspeciļ¬c task wrapped as a web service, and some examples of these that are being implemented on the US TeraGrid...
Roy Williams, Conrad Steenberg, Julian J. Bunn
BMCBI
2007
140views more  BMCBI 2007»
13 years 8 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...