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» A Kernel Statistical Test of Independence
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PAMI
1998
87views more  PAMI 1998»
13 years 7 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»
14 years 8 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
14 years 1 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
13 years 5 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
BMCBI
2010
110views more  BMCBI 2010»
13 years 8 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