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Predictive model for genital tract infections among men and women in Ghana: An application of LASSO penalized cross-validation regression model. [PDF]
Epidemiol InfectNtumy MY +5 more
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Validity assessment in Eastern Europe: cross-validation of the Dot Counting Test and MODEMM against the TOMM-1 and Rey-15 in a Romanian mixed clinical sample. [PDF]
Arch Clin NeuropsycholCrișan I, Sava FA.
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Utility of the 2019 EULAR/ACR SLE classification criteria for predicting mortality and hospitalisation: development and cross-validation of ominosity score. [PDF]
RMD OpenFigueroa-Parra G +8 more
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2021
In this paper, we attempt to deal with Cross Validation (henceforth CV). Initially, we define the loss functions which play an important role in CV methods and then, we present the ones we usually use in CV problems. We define the generalization error and present the context of the work as well.
Raimon Tolosana-Delgado, Ute Mueller
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In this paper, we attempt to deal with Cross Validation (henceforth CV). Initially, we define the loss functions which play an important role in CV methods and then, we present the ones we usually use in CV problems. We define the generalization error and present the context of the work as well.
Raimon Tolosana-Delgado, Ute Mueller
openaire +2 more sources
Physical Review Letters, 2013
We show that the information collected in the course of a generic quantum tomography experiment can be used for verifying experimenters' assumptions about the state preparation and measurement. In particular, systematic errors, such as drifts and instabilities inherent in the tomography setup, can be identified without the need for any specific ...
D, Mogilevtsev +3 more
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We show that the information collected in the course of a generic quantum tomography experiment can be used for verifying experimenters' assumptions about the state preparation and measurement. In particular, systematic errors, such as drifts and instabilities inherent in the tomography setup, can be identified without the need for any specific ...
D, Mogilevtsev +3 more
openaire +2 more sources
Applied Psychological Measurement, 2014
The development of the kernel equating (KE) method enhanced the theory of observed-score equating. In KE, discrete test score distributions are converted into continuous distributions through the use of a Gaussian kernel. Traditionally, the optimal bandwidth for a Gaussian kernel was obtained by minimizing a penalty function.
Tie Liang, Alina A. von Davier
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The development of the kernel equating (KE) method enhanced the theory of observed-score equating. In KE, discrete test score distributions are converted into continuous distributions through the use of a Gaussian kernel. Traditionally, the optimal bandwidth for a Gaussian kernel was obtained by minimizing a penalty function.
Tie Liang, Alina A. von Davier
openaire +1 more source
Journal of Mathematical Psychology, 2000
This paper gives a review of cross-validation methods. The original applications in multiple linear regression are considered first. It is shown how predictive accuracy depends on sample size and the number of predictor variables. Both two-sample and single-sample cross-validation indices are investigated. The application of cross-validation methods to
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This paper gives a review of cross-validation methods. The original applications in multiple linear regression are considered first. It is shown how predictive accuracy depends on sample size and the number of predictor variables. Both two-sample and single-sample cross-validation indices are investigated. The application of cross-validation methods to
openaire +3 more sources