• bootstrap

• Referenced in 856 articles [sw19105]
• Introduction to the Bootstrap”. Software (bootstrap, cross-validation, jackknife) and data for the book...

• spatstat

• Referenced in 103 articles [sw04429]
• smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices...

• Cell-PLoc

• Referenced in 58 articles [sw09126]
• demonstrated by a series of cross-validation tests on the benchmark data sets that covered...

• Cohn-Kanade

• Referenced in 46 articles [sw04974]
• sequence is fully FACS coded. In addition validated emotion labels have been added ... classifier with leave-one-out subject cross-validation was used. Both sets of results...

• penalized

• Referenced in 21 articles [sw06071]
• fold and leave-one-out cross-validation for ridge regression In model building and model ... evaluation, cross-validation is a frequently used resampling method. Unfortunately, this method can be quite ... full model. In this way, all cross-validated estimates are approximated without refitting the model ... accurate when approximating leave-one-out cross-validation results for large data sets which...

• frailtypack

• Referenced in 32 articles [sw06070]
• parameter is possible using an approximated cross-validation procedure. 2) Additive frailty models for proportional...

• bnlearn

• Referenced in 31 articles [sw08265]
• inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available...

• ROCR

• Referenced in 26 articles [sw04551]
• standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different...

• iLoc-Euk

• Referenced in 26 articles [sw22434]
• proteins. As a demonstration, the jackknife cross-validation was performed with iLoc...

• RegEM

• Referenced in 13 articles [sw04943]
• parameter) and ridge regression with generalized cross-validation as regularized estimation methods. The implementation ... parameters (e.g., ridge regression and generalized cross-validation) can be exchanged for other regularization methods ... algorithm. The generalized cross-validation modules of the regularized EM algorithm are adapted from Hansen ... generalized cross-validation modules. In the Matlab implementation of the regularized EM algorithm, more emphasis...

• abc

• Referenced in 22 articles [sw14871]
• model selection, and goodness-of-fit. Cross-validation tools are also available for measuring...

• N-way Toolbox

• Referenced in 20 articles [sw12996]
• multi-way scaling and centering; Performing cross-validation of models; Calculating core consistency of PARAFAC...

• iNuc-PseKNC

• Referenced in 20 articles [sw16607]
• observed by the rigorous cross-validation tests on the three stringent benchmark datasets that...

• GPCR-CA

• Referenced in 20 articles [sw25949]
• that were obtained through rigorous jackknife cross-validation tests on a new-constructed stringent benchmark...

• iLoc-Hum

• Referenced in 19 articles [sw22433]
• sites. As a demonstration, the jackknife cross-validation was performed with iLoc...

• mlr

• Referenced in 18 articles [sw12357]
• cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern...

• iPro54-PseKNC

• Referenced in 17 articles [sw22411]
• examined by the rigorous jackknife cross-validation tests on a stringent benchmark data...

• GPCR-2L

• Referenced in 17 articles [sw22409]
• were derived by the rigorous jackknife cross-validation on a stringent benchmark dataset, in which...

• iSNO-PseAAC

• Referenced in 16 articles [sw22446]
• observed that the overall cross-validation success rate achieved by iSNO-PseAAC in identifying nitrosylated...

• Hum-PLoc

• Referenced in 16 articles [sw26863]
• rates thus obtained via the jackknife cross-validation test and independent dataset test were...