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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 6 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 4 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
13 years 10 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»
13 years 10 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»
13 years 10 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...