References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Kim, Sun Hye; Boukouvala, Fani: Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (2020)
  2. Epifanio, Irene; Ibáñez, María Victoria; Simó, Amelia: Archetypal shapes based on landmarks and extension to handle missing data (2018)
  3. Mair, Patrick: Modern psychometrics with R (2018)
  4. Toh, Kar-Ann; Lin, Zhiping; Sun, Lei; Li, Zhengguo: Stretchy binary classification (2018)
  5. Ma, Shaohui; Fildes, Robert; Huang, Tao: Demand forecasting with high dimensional data: the case of SKU retail sales forecasting with intra- and inter-category promotional information (2016)
  6. Shi, Jianhong; Song, Weixing: Sparse principal component analysis with measurement errors (2016)
  7. Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
  8. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  9. Jerome Friedman; Trevor Hastie; Rob Tibshirani: Regularization Paths for Generalized Linear Models via Coordinate Descent (2010) not zbMATH
  10. Schifano, Elizabeth D.; Strawderman, Robert L.; Wells, Martin T.: Majorization-minimization algorithms for nonsmoothly penalized objective functions (2010)
  11. Hesterberg, Tim; Choi, Nam Hee; Meier, Lukas; Fraley, Chris: Least angle and (\ell_1) penalized regression: a review (2008)
  12. Max Kuhn: Building Predictive Models in R Using the caret Package (2008) not zbMATH