• bootstrap

  • Referenced in 717 articles [sw19105]
  • Introduction to the Bootstrap”. Software (bootstrap, cross-validation, jackknife) and data for the book...
  • spatstat

  • Referenced in 54 articles [sw04429]
  • smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices...
  • Cohn-Kanade

  • Referenced in 44 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...
  • Cell-PLoc

  • Referenced in 24 articles [sw09126]
  • demonstrated by a series of cross-validation tests on the benchmark data sets that covered...
  • bnlearn

  • Referenced in 19 articles [sw08265]
  • inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available...
  • N-way Toolbox

  • Referenced in 19 articles [sw12996]
  • multi-way scaling and centering; Performing cross-validation of models; Calculating core consistency of PARAFAC...
  • penalized

  • Referenced in 10 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...
  • RegEM

  • Referenced in 9 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...
  • ROCR

  • Referenced in 14 articles [sw04551]
  • standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different...
  • frailtypack

  • Referenced in 13 articles [sw06070]
  • parameter is possible using an approximated cross-validation procedure. 2) Additive frailty models for proportional...
  • iNuc-PseKNC

  • Referenced in 12 articles [sw16607]
  • observed by the rigorous cross-validation tests on the three stringent benchmark datasets that...
  • SURROGATES

  • Referenced in 10 articles [sw07575]
  • leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination...
  • abc

  • Referenced in 10 articles [sw14871]
  • model selection, and goodness-of-fit. Cross-validation tools are also available for measuring...
  • mlr

  • Referenced in 9 articles [sw12357]
  • cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern...
  • GAKREM

  • Referenced in 9 articles [sw02712]
  • means algorithm, and the likelihood cross-validation technique on several datasets...
  • SVM Toolbox

  • Referenced in 9 articles [sw14742]
  • leave-one-out cross-validation error). Object oriented design, currently this just means that...
  • CUBGCV

  • Referenced in 8 articles [sw04346]
  • fast procedure for calculating minimum cross-validation cubic smoothing splines The procedure CUBGCV...
  • tree

  • Referenced in 6 articles [sw11163]
  • regression trees. Runs a K-fold cross-validation experiment to find the deviance or number...
  • Nuc-ploc

  • Referenced in 6 articles [sw16471]
  • amino acid composition. The overall jackknife cross-validation accuracy obtained by Nuc-PLoc is significantly...
  • WilcoxCV

  • Referenced in 3 articles [sw08147]
  • WilcoxCV: Wilcoxon-based variable selection in cross-validation. This package provides functions to perform fast ... Wilcoxon rank sum test in the cross-validation or Monte-Carlo cross-validation settings...