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  • RegEM
  • Referenced in 18 articles [sw04943]
  • truncation parameter) and ridge regression with generalized cross-validation as regularized estimation methods. The implementation ... regression parameters (e.g., ridge regression and generalized cross-validation) can be exchanged for other regularization ... framework of the EM algorithm. The generalized cross-validation modules of the regularized EM algorithm ... adapted from Hansen’s generalized cross-validation modules. In the Matlab implementation of the regularized...

  • GCVPACK
  • Referenced in 13 articles [sw31699]
  • subroutines provide building blocks for generalized cross-validation (GCV) calculations in data analysis and data ... thin plate smoothing splines, deconvolution, smoothing of generalized linear models, and ill-posed problems...

  • pLoc-mEuk
  • Referenced in 30 articles [sw24440]
  • information into the general PseAAC (Pseudo Amino Acid Composition). Rigorous cross-validations on a high...

  • pLoc-mPlant
  • Referenced in 27 articles [sw25191]
  • Chou’s general PseAAC (Pseudo Amino Acid Composition). Rigorous cross-validation on the same stringent...

  • mlr
  • Referenced in 31 articles [sw12357]
  • clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping...

  • pLoc-mVirus
  • Referenced in 23 articles [sw24439]
  • information into the general PseAAC (Pseudo Amino Acid Composition). Rigorous cross-validation on a same...

  • pLoc-mHum
  • Referenced in 20 articles [sw27661]
  • information into the general PseAAC (Pseudo Amino Acid Composition). Rigorous cross-validations on a same...

  • penalized
  • Referenced in 26 articles [sw06071]
  • model building and model evaluation, cross-validation is a frequently used resampling method. Unfortunately, this ... much faster and can be used in generalized linear models and Cox’ proportional hazards model ... full model. In this way, all cross-validated estimates are approximated without refitting the model...

  • brms
  • Referenced in 31 articles [sw19099]
  • Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models using Stan ... predictive checks and leave-one-out cross-validation...

  • iKcr-PseEns
  • Referenced in 19 articles [sw25199]
  • general pseudo amino acid composition. It has been observed via rigorous cross-validations that...

  • origami
  • Referenced in 2 articles [sw29120]
  • origami: A Generalized Framework for Cross-Validation in R. origami is an R package that ... provides a general framework for the application of cross-validation schemes to particular functions...

  • iPTM-mLys
  • Referenced in 26 articles [sw23948]
  • incorporating the sequence-coupled effects into the general PseAAC, and by fusing an array ... classifiers into an ensemble system. Rigorous cross-validations via a set of multi-label metrics...

  • iRNA-PseColl
  • Referenced in 31 articles [sw24441]
  • features of the sequence elements into the general pseudo K-tuple nucleotide composition (PseKNC ... distribution of its constituent nucleotides. Rigorous cross-validations have indicated that the anticipated success rates...

  • iHyd-PseAAC
  • Referenced in 16 articles [sw27675]
  • general form of pseudo amino acid composition. It was demonstrated by rigorous cross-validation tests...

  • pSuc-Lys
  • Referenced in 31 articles [sw16643]
  • incorporating the sequence-coupled information into the general pseudo amino acid composition, (2) balancing ... individual random forest classifiers. Rigorous cross-validations indicated that it remarkably outperformed the existing methods...

  • frailtypack
  • Referenced in 43 articles [sw06070]
  • frailtypack: General Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation ... parameter is possible using an approximated cross-validation procedure. 2) Additive frailty models for proportional...

  • N-way Toolbox
  • Referenced in 30 articles [sw12996]
  • Fitting multi-way Tucker models; Fitting the generalized rank annihilation method; Fitting the direct trilinear ... multi-way scaling and centering; Performing cross-validation of models; Calculating core consistency of PARAFAC ... such as low-res NMR), GEMANOVA for generalized multiplicative ANOVA, MILES for maximum likelihood fitting...

  • iCar-PseCp
  • Referenced in 18 articles [sw23951]
  • incorporating the sequence-coupled information into the general pseudo amino acid composition, and balancing ... expand positive subset. Rigorous target cross-validations on a same set of carbonylation-known proteins...

  • iRSpot-Pse6NC
  • Referenced in 13 articles [sw27677]
  • incorporating the key hexamer features into the general PseKNC (Pseudo K-tuple Nucleotide Composition ... been observed via rigorous cross-validations that the proposed predictor is superior to its counterparts...

  • iCTX-Type
  • Referenced in 21 articles [sw22440]
  • conotoxin sequence into a 400-D (dimensional) general pseudoamino acid composition, followed by the feature ... iCTX-Type via a rigorous cross-validation was over 91%, outperforming its counterpart (RBF network...