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BMCBI
2006
110views more  BMCBI 2006»
13 years 8 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
TVCG
2011
120views more  TVCG 2011»
13 years 3 months ago
Drawing and Labeling High-Quality Metro Maps by Mixed-Integer Programming
—Metro maps are schematic diagrams of public transport networks that serve as visual aids for route planning and navigation tasks. It is a challenging problem in network visualiz...
Martin Nöllenburg, Alexander Wolff
ICISP
2010
Springer
13 years 10 months ago
Classification of Similar Impact Sounds
Several sound classifiers have been developed throughout the years. The accuracy provided by these classifiers is influenced by the features they use and the classification method ...
Sofia Cavaco, José Rodeia
ICML
2005
IEEE
14 years 9 months ago
PAC-Bayes risk bounds for sample-compressed Gibbs classifiers
We extend the PAC-Bayes theorem to the sample-compression setting where each classifier is represented by two independent sources of information: a compression set which consists ...
François Laviolette, Mario Marchand
IJAR
2008
76views more  IJAR 2008»
13 years 8 months ago
Evidence and scenario sensitivities in naive Bayesian classifiers
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
Silja Renooij, Linda C. van der Gaag