• RegEM

  • Referenced in 17 articles [sw04943]
  • parameters (e.g., ridge regression and generalized cross-validation) can be exchanged for other regularization methods ... into the framework of the EM algorithm. The generalized cross-validation modules of the regularized...
  • 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...
  • PREvaIL

  • Referenced in 10 articles [sw25073]
  • framework. Extensive benchmarking experiments on eight different datasets based on 10-fold cross-validation...
  • ClassifyR

  • Referenced in 1 article [sw32620]
  • R/Bioconductor package ClassifyR: A framework for cross-validated classification problems, with applications to differential variability ... differential distribution testing. The software formalises a framework for classification in R. There are four ... reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability ... user, by creating an interface to the framework...
  • AUTO-IK

  • Referenced in 2 articles [sw21228]
  • uncertainty within a cross-validation and jack-knife frameworks. The different functionalities are illustrated using...
  • OSCV

  • Referenced in 1 article [sw35487]
  • package OSCV: One-Sided Cross-Validation. Functions for implementing different versions of the OSCV method ... kernel regression and density estimation frameworks. The package mainly supports the following articles: (1) Savchuk ... Fully robust one-sided cross-validation for regression functions. Computational Statistics,
  • CONTRAlign

  • Referenced in 4 articles [sw08305]
  • present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence ... modern tools. As confirmed by rigorous cross-validated testing, CONTRAlign effectively leverages weak biological signals ... incorporated as additional features within the CONTRAlign framework, yielding additional improvements...
  • assignPOP

  • Referenced in 0 articles [sw20069]
  • Machine Learning Framework. Use Monte-Carlo and K-fold cross-validation coupled with machine-learning...
  • SPINE

  • Referenced in 5 articles [sw29309]
  • SPINE, for Signaling-regulatory Pathway INferencE. The framework aims at explaining gene expression experiments ... solve it using a commercial solver. We validate the method by applying ... subnetwork that is involved in mating. In cross-validation tests, SPINE obtains very high accuracy...
  • MetalExplorer

  • Referenced in 0 articles [sw25084]
  • learning framework. Results: The predictive performance of MetalExplorer was tested by cross-validation and independent...
  • direpack

  • Referenced in 1 article [sw33319]
  • well as dedicated plotting functionality and cross-validation utilities. Finally, direpack has been written consistent ... statistical and/or machine) learning pipelines in that framework...
  • tmle3mopttx

  • Referenced in 1 article [sw33820]
  • order to avoid nested cross-validation, it uses split-specific estimates ... adapter package for use with the tmle3 framework and the tlverse software ecosystem for Targeted...
  • Elliot

  • Referenced in 1 article [sw37569]
  • processing a simple configuration file. The framework loads, filters, and splits the data considering ... test splitting to nested K-folds Cross-Validation). Elliot optimizes hyperparameters (51 strategies) for several...
  • lassopack

  • Referenced in 1 article [sw37548]
  • step-ahead rolling cross-validation for cross-section, panel, and time-series data (cvlasso ... lasso for cross-section and panel data (rlasso). We discuss the theoretical framework and practical...
  • RaSEn

  • Referenced in 1 article [sw33917]
  • propose a new model-free ensemble classification framework, RaSE algorithm, for the sparse classification problem ... minimizing training error, minimizing the validation error, minimizing the cross-validation error, minimizing leave...
  • SDM6A

  • Referenced in 1 article [sw37445]
  • SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice ... prediction. SDM6A achieved robust performance on cross-validation and independent evaluation, with average accuracy...
  • Conrad

  • Referenced in 1 article [sw23028]
  • best standalone gene predictors in cross-validation and whole chromosome testing on two fungi with ... Conrad versus Fgenesh. SMCRFs are a promising framework for gene prediction because of their highly...
  • pylearn-simulate

  • Referenced in 1 article [sw26392]
  • this paper is to present a theoretical framework for generating simulated data. These simulated data ... without the need to use, e.g., cross-validation. We also present our implementation, the Python...
  • LAPACK

  • Referenced in 1659 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Mathematica

  • Referenced in 6166 articles [sw00554]
  • Almost any workflow involves computing results, and that...