1083 search results - page 93 / 217 » Efficient Discovery of Confounders in Large Data Sets |
178
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BMCBI
2005
15 years 6 months ago
2005
Background: Single nucleotide polymorphisms (SNPs) provide an important tool in pinpointing susceptibility genes for complex diseases and in unveiling human molecular evolution. S...
167
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
176
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ADBIS
2000
Springer
15 years 10 months ago
2000
Springer
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
166
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ICML
1994
IEEE
15 years 9 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
173
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BMCBI
2006
15 years 6 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...