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BMCBI
2006
153views more  BMCBI 2006»
15 years 4 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
BMCBI
2007
173views more  BMCBI 2007»
15 years 4 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
TOCS
2008
154views more  TOCS 2008»
15 years 4 months ago
Adaptive work-stealing with parallelism feedback
We present an adaptive work-stealing thread scheduler, ASTEAL, for fork-join multithreaded jobs, like those written using the Cilk multithreaded language or the Hood work-stealing...
Kunal Agrawal, Charles E. Leiserson, Yuxiong He, W...
IJCV
1998
238views more  IJCV 1998»
15 years 4 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
CONEXT
2006
ACM
15 years 6 months ago
Optimal design of high density 802.11 WLANs
Abstract: The provisioning of high throughput performance infrastructure wireless networks necessitates the deployment of a high density of Access Points. While the latter improves...
Vivek P. Mhatre, Konstantina Papagiannaki