1083 search results - page 86 / 217 » Efficient Discovery of Confounders in Large Data Sets |
257
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VLDB
2008
ACM
16 years 6 months ago
2008
ACM
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
204
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JMLR
2010
15 years 1 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
158
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DMKD
1999
ACM
15 years 10 months ago
1999
ACM
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
178
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BMCBI
2007
15 years 6 months ago
2007
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
192
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BMCBI
2007
15 years 6 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...