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129
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ICANN
2007
Springer
16 years 23 days ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
172
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SDM
2003
SIAM
15 years 8 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
177
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TNN
2008
15 years 6 months ago
2008
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
198
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BMCBI
2010
15 years 6 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
195
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IPPS
2007
IEEE
16 years 27 days ago
2007
IEEE
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...