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» A Kernel Statistical Test of Independence
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PAMI
1998
87views more  PAMI 1998»
14 years 9 months ago
What Size Test Set Gives Good Error Rate Estimates?
—We address the problem of determining what size test set guarantees statistically significant results in a character recognition task, as a function of the expected error rate. ...
Isabelle Guyon, John Makhoul, Richard M. Schwartz,...
KDD
2007
ACM
112views Data Mining» more  KDD 2007»
15 years 10 months ago
Statistical change detection for multi-dimensional data
This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...
ICPR
2010
IEEE
15 years 2 months ago
2D Shape Recognition Using Information Theoretic Kernels
In this paper, a novel approach for contour-based 2D shape recognition is proposed, using a recently introduced class of information theoretic kernels. This kind of kernels, based...
Manuele Bicego, André Filipe Torres Martins, Vitt...
ECAI
2010
Springer
14 years 7 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
82
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BMCBI
2010
110views more  BMCBI 2010»
14 years 9 months ago
On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence
Background: In eukaryotes, most DNA-binding proteins exert their action as members of large effector complexes. The presence of these complexes are revealed in high-throughput gen...
David S. Huen, Steven Russell