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» A rough set approach to multiple dataset analysis
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BMCBI
2010
124views more  BMCBI 2010»
15 years 1 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
INFOCOM
2006
IEEE
15 years 7 months ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo
ICCV
1999
IEEE
16 years 3 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
BMCBI
2006
150views more  BMCBI 2006»
15 years 1 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
ICSE
2000
IEEE-ACM
15 years 5 months ago
Galileo: a tool built from mass-market applications
We present Galileo, an innovative engineering modeling and analysis tool built using an approach we call packageoriented programming (POP). Galileo represents an ongoing evaluatio...
David Coppit, Kevin J. Sullivan