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» On the Dangers of Cross-Validation. An Experimental Evaluati...
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SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 11 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
IJBRA
2007
97views more  IJBRA 2007»
13 years 9 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...
ISMAR
2005
IEEE
14 years 3 months ago
Experimental Evaluation of an Augmented Reality Visualization for Directing a Car Driver's Attention
With recent advances of Head-up Display technology in cars, Augmented Reality becomes interesting in supporting the driving task to guide a driver’s attention. We have set up an...
Marcus Tönnis, Christian Sandor, Christian La...
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Improving Speaker Diarization by Cross EM Refinement
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
GCB
2004
Springer
126views Biometrics» more  GCB 2004»
14 years 3 months ago
Proteochemometrics Modeling of Receptor-Ligand Interactions Using Rough Sets
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...
H. Strömbergsson, Peteris Prusis, Herman Mide...