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» Computing a Model of Set Theory
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DAC
2006
ACM
16 years 8 months ago
MARS-C: modeling and reduction of soft errors in combinational circuits
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...
Natasa Miskov-Zivanov, Diana Marculescu
BIB
2011
14 years 11 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
BMCBI
2005
103views more  BMCBI 2005»
15 years 7 months ago
Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
Leslie Grate
RECOMB
2003
Springer
16 years 8 months ago
Haplotype reconstruction from SNP alignment
In this paper, we describe a method for statistical reconstruction of haplotypes from a set of aligned SNP fragments. We consider the case of a pair of homologous human chromosome...
Lei Li, Jong Hyun Kim, Michael S. Waterman
CGF
2010
171views more  CGF 2010»
15 years 4 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
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