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» Computing LTS Regression for Large Data Sets
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15 years 8 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
WABI
2009
Springer
102views Bioinformatics» more  WABI 2009»
16 years 1 months ago
A Tree Based Method for the Rapid Screening of Chemical Fingerprints
Background: The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fin...
Thomas G. Kristensen, Jesper Nielsen, Christian N....
HIPEAC
2009
Springer
16 years 1 months ago
Collective Optimization
Abstract. Iterative compilation is an efficient approach to optimize programs on rapidly evolving hardware, but it is still only scarcely used in practice due to a necessity to gat...
Grigori Fursin, Olivier Temam
ICPR
2006
IEEE
16 years 8 months ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
177
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MDM
2007
Springer
209views Communications» more  MDM 2007»
16 years 1 months ago
Parallelized Simulated Annealing for Model Updating in Ad-Hoc Wireless Sensing Networks
The engineering community has recently begun to adopt wireless sensing technologies for use in many sensing applications. These low-cost sensors provide an optimal setting for den...
Andrew T. Zimmerman, Jerome P. Lynch