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» A Kernel Statistical Test of Independence
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ALMOB
2006
110views more  ALMOB 2006»
13 years 7 months ago
Computing distribution of scale independent motifs in biological sequences
The use of Chaos Game Representation (CGR) or its generalization, Universal Sequence Maps (USM), to describe the distribution of biological sequences has been found objectionable ...
Jonas S. Almeida, Susana Vinga
NIPS
2003
13 years 9 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
CVPR
2005
IEEE
14 years 9 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
MA
2010
Springer
85views Communications» more  MA 2010»
13 years 6 months ago
K-sample subsampling in general spaces: The case of independent time series
The problem of subsampling in two-sample and K-sample settings is addressed where both the data and the statistics of interest take values in general spaces. We focus on the case ...
Dimitris N. Politis, Joseph P. Romano
SCFBM
2008
119views more  SCFBM 2008»
13 years 7 months ago
Permutation - based statistical tests for multiple hypotheses
Background: Genomics and proteomics analyses regularly involve the simultaneous test of hundreds of hypotheses, either on numerical or categorical data. To correct for the occurre...
Anyela Camargo, Francisco Azuaje, Haiying Wang, Hu...