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» Selective Value Prediction
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155
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BMCBI
2007
149views more  BMCBI 2007»
15 years 3 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
129
Voted
ADC
2004
Springer
147views Database» more  ADC 2004»
15 years 9 months ago
Clustering Moving Objects for Spatio-temporal Selectivity Estimation
Many spatio-temporal applications involve managing and querying moving objects. In such an environment, predictive spatio-temporal queries become an important query class to be pr...
Qing Zhang, Xuemin Lin
DEXAW
2007
IEEE
124views Database» more  DEXAW 2007»
15 years 7 months ago
XML Query Optimisation: Specify your Selectivity
The problem of efficiently evaluating XPath and XQuery queries has become increasingly significant since more and more XML data is stored in its native form. We propose a novel op...
Sven Hartmann, Sebastian Link
138
Voted
ECML
2006
Springer
15 years 7 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
142
Voted
BMCBI
2008
126views more  BMCBI 2008»
15 years 3 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...