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» Using Anonymized Data for Classification
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BMCBI
2008
128views more  BMCBI 2008»
15 years 17 days ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
BMCBI
2007
194views more  BMCBI 2007»
15 years 17 days ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
132
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PERCOM
2011
ACM
14 years 7 months ago
AnonySense: A system for anonymous opportunistic sensing
We describe AnonySense, a privacy-aware system for realizing pervasive applications based on collaborative, opportunistic sensing by personal mobile devices. AnonySense allows app...
Minho Shin, Cory Cornelius, Daniel Peebles, Apu Ka...
136
Voted
JMLR
2010
156views more  JMLR 2010»
14 years 7 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
87
Voted
ISMB
1996
15 years 1 months ago
Improving the Quality of Automatic DNA Sequence Assembly Using Fluorescent Trace-Data Classifications
Virtually all large-scale sequencing projects use automatic sequence-assembly programs to aid in the determination of DNA sequences. The computer-generated assemblies require subs...
Carolyn F. Allex, Schuyler F. Baldwin, Jude W. Sha...