1083 search results - page 148 / 217 » Efficient Discovery of Confounders in Large Data Sets |
SSD
2001
Springer
14 years 2 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...
BMCBI
2010
13 years 5 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...
KDD
2004
ACM
14 years 10 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 ...
RECOMB
2010
Springer
13 years 12 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...
ICML
2007
IEEE
14 years 11 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...