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» Experimental Design for Variable Selection in Data Bases
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ICCAD
1998
IEEE
71views Hardware» more  ICCAD 1998»
13 years 11 months ago
High-level variable selection for partial-scan implementation
In this paper, we propose a high-level variable selection for partial-scan approach to improve the testability of digital systems. The testability of a design is evaluated at the ...
Frank F. Hsu, Janak H. Patel
CASES
2006
ACM
14 years 1 months ago
Mitigating soft error failures for multimedia applications by selective data protection
With advances in process technology, soft errors (SE) are becoming an increasingly critical design concern. Due to their large area and high density, caches are worst hit by soft ...
Kyoungwoo Lee, Aviral Shrivastava, Ilya Issenin, N...
BMCBI
2002
188views more  BMCBI 2002»
13 years 7 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
SIGIR
2010
ACM
13 years 7 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
BMCBI
2006
90views more  BMCBI 2006»
13 years 7 months ago
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
Background: Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experimen...
Grier P. Page, Jode W. Edwards, Gary L. Gadbury, P...