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» What Size Test Set Gives Good Error Rate Estimates
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PAMI
1998
87views more  PAMI 1998»
13 years 4 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,...
BMCBI
2006
165views more  BMCBI 2006»
13 years 5 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
ICIP
2007
IEEE
13 years 11 months ago
Rotation-Independent IRIS Matching by Motion Estimation
In this paper we propose a novel method of applying motion estimation techniques to human authentication by iris matching. By exploiting the inherent differences in vector fields ...
Donald M. Monro, Soumyadip Rakshit
BMCBI
2007
101views more  BMCBI 2007»
13 years 5 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
PR
2006
83views more  PR 2006»
13 years 5 months ago
Optimal convex error estimators for classification
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...
Chao Sima, Edward R. Dougherty