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» Means, Correlations and Bounds
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BMCBI
2006
82views more  BMCBI 2006»
15 years 1 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
96
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CPHYSICS
2007
86views more  CPHYSICS 2007»
15 years 1 months ago
Are polymer melts "ideal"
It is commonly accepted that in concentrated solutions or melts high-molecular weight polymers display randomwalk conformational properties without long-range correlations between...
Joachim Paul Jakob Wittmer, Philippe Beckrich, F. ...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
16 years 2 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
COLT
2008
Springer
15 years 3 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
102
Voted
ICML
2006
IEEE
16 years 2 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...