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» Discovering Classification from Data of Multiple Sources
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BMCBI
2006
186views more  BMCBI 2006»
13 years 7 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
IPPS
2005
IEEE
14 years 1 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
PAMI
2007
196views more  PAMI 2007»
13 years 7 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
ICA3PP
2005
Springer
14 years 1 months ago
A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Srikumar Venugopal, Rajkumar Buyya
IJCAI
2003
13 years 9 months ago
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock