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» Computing LTS Regression for Large Data Sets
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15 years 7 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 27 days 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 7 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
MDM
2007
Springer
209views Communications» more  MDM 2007»
16 years 14 days 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