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SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 9 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
SPIN
1999
Springer
13 years 12 months ago
Xspin/Project - Integrated Validation Management for Xspin
One of the difficulties of using model checkers “in the large” is the management of all (generated) data during the validation trajectory. It is important that the results obta...
Theo C. Ruys
ICML
1994
IEEE
13 years 11 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
ICDCIT
2005
Springer
14 years 1 months ago
Validation of Policy Integration Using Alloy
Abstract. Organizations typically have multiple security policies operating together in the same system. The integration of multiple policies might be needed to achieve the desired...
Manachai Toahchoodee, Indrakshi Ray
SEW
2006
IEEE
14 years 1 months ago
Retrenching the Purse: Finite Exception Logs, and Validating the Small
The Mondex Electronic Purse is an outstanding example of industrial scale formal refinement, and was the first verification to achieve ITSEC level E6 certification. A formal a...
Richard Banach, Michael Poppleton, Susan Stepney