References in zbMATH (referenced in 66 articles )

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  1. Champion, Magali; Picheny, Victor; Vignes, Matthieu: Inferring large graphs using $\ell_1$-penalized likelihood (2018)
  2. Hernández, Belinda; Raftery, Adrian E.; Pennington, Stephen R.; Parnell, Andrew C.: Bayesian additive regression trees using Bayesian model averaging (2018)
  3. Hooker, Giles; Mentch, Lucas: Bootstrap bias corrections for ensemble methods (2018)
  4. Shah, Rajen D.; Bühlmann, Peter: Goodness-of-fit tests for high dimensional linear models (2018)
  5. Wang, Boxiang; Zou, Hui: Another look at distance-weighted discrimination (2018)
  6. Bacciu, Davide; Carta, Antonio; Gnesi, Stefania; Semini, Laura: An experience in using machine learning for short-term predictions in smart transportation systems (2017)
  7. Berrar, Daniel: Confidence curves: an alternative to null hypothesis significance testing for the comparison of classifiers (2017)
  8. Bertsimas, Dimitris; Dunn, Jack: Optimal classification trees (2017)
  9. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  10. Debón, A.; Chaves, L.; Haberman, S.; Villa, F.: Characterization of between-group inequality of longevity in European union countries (2017)
  11. Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl: OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML (2017) arXiv
  12. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017)
  13. Marjolein Fokkema: pre: An R Package for Fitting Prediction Rule Ensembles (2017) arXiv
  14. Parast, Layla; Griffin, Beth Ann: Landmark estimation of survival and treatment effects in observational studies (2017)
  15. Adam Kapelner and Justin Bleich: bartMachine: Machine Learning with Bayesian Additive Regression Trees (2016)
  16. Angelopoulos, Nicos; Abdallah, Samer; Giamas, Georgios: Advances in integrative statistics for logic programming (2016)
  17. Arlot, Sylvain; Genuer, Robin: Comments on: “A random forest guided tour” (2016)
  18. Bellio, Ruggero; Ceschia, Sara; Di Gaspero, Luca; Schaerf, Andrea; Urli, Tommaso: Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem (2016)
  19. Biau, Gérard; Fischer, Aurélie; Guedj, Benjamin; Malley, James D.: COBRA: a combined regression strategy (2016)
  20. Biau, Gérard; Scornet, Erwan: A random forest guided tour (2016)

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