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» Using Bayesian networks to analyze expression data
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BMCBI
2006
202views more  BMCBI 2006»
15 years 4 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
CCR
2010
202views more  CCR 2010»
15 years 4 months ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...
124
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
DATAMINE
2006
164views more  DATAMINE 2006»
15 years 4 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
ISCC
2009
IEEE
152views Communications» more  ISCC 2009»
15 years 10 months ago
Perceptual based voice multi-hop transmission over wireless sensor networks
Abstract—Multimedia applications over wireless sensor networks (WSNs) are rapidly gaining interest by the research community in order to develop new and mission critical services...
M. Petracca, G. Litovsky, A. Rinotti, Marco Tacca,...