1083 search results - page 148 / 217 » Efficient Discovery of Confounders in Large Data Sets |
170
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SSD
2001
Springer
15 years 10 months ago
2001
Springer
Intervals represent a fundamental data type for temporal, scientific, and spatial databases where time stamps and point data are extended to time spans and range data, respectively...
191
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BMCBI
2010
15 years 1 months ago
2010
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
160
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
183
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RECOMB
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. Recent genome sequencing studies have shown that the somatic mutations that drive cancer development are distributed across a large number of genes. This mutational heter...
186
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...