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» On quantum statistics in data analysis
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83
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CSDA
2006
96views more  CSDA 2006»
14 years 11 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
78
Voted
BMCBI
2005
93views more  BMCBI 2005»
14 years 11 months ago
Two-part permutation tests for DNA methylation and microarray data
Background: One important application of microarray experiments is to identify differentially expressed genes. Often, small and negative expression levels were clipped-off to be e...
Markus Neuhäuser, Tanja Boes, Karl-Heinz J&ou...
81
Voted
INFOVIS
2002
IEEE
15 years 4 months ago
Visualizing Data with Bounded Uncertainty
Visualization is a powerful way to facilitate data analysis, but it is crucial that visualization systems explicitly convey the presence, nature, and degree of uncertainty to user...
Chris Olston, Jock D. Mackinlay
JACM
2010
208views more  JACM 2010»
14 years 9 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
15 years 2 months ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary