References in zbMATH (referenced in 13 articles , 1 standard article )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Limbeck, Jan; Bisdom, Kevin; Lanz, Fabian; Park, Timothy; Barbaro, Eduardo; Bourne, Stephen; Kiraly, Franz; Bierman, Stijn; Harris, Chris; Nevenzeel, Keimpe; den Bezemer, Taco; van Elk, Jan: Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field (2021)
  2. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  3. F. Aragón-Royón, A. Jiménez-Vílchez, A. Arauzo-Azofra, J. M. Benítez: FSinR: an exhaustive package for feature selection (2020) arXiv
  4. Mustaqeem, Anam; Anwar, Syed Muhammad; Majid, Muahammad: Multiclass classification of cardiac arrhythmia using improved feature selection and SVM invariants (2018)
  5. Thomas, Janek; Hepp, Tobias; Mayr, Andreas; Bischl, Bernd: Probing for sparse and fast variable selection with model-based boosting (2017)
  6. Ma, Yuting; Zheng, Tian: Boosted sparse nonlinear distance metric learning (2016)
  7. Nguyen, Thanh-Tung; Huang, Joshua Z.; Nguyen, Thuy Thi: Two-level quantile regression forests for bias correction in range prediction (2015)
  8. Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot: VSURF: An R Package for Variable Selection Using Random Forests (2015) not zbMATH
  9. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  10. Deng, Houtao; Runger, George: Gene selection with guided regularized random forest (2013) ioport
  11. Barb, Adrian S.: Gaussian mixture models for semantic ranking in domain specific databases with application in radiology (2011) ioport
  12. Kursa, Miron B.; Jankowski, Aleksander; Rudnicki, Witold R.: Boruta -- a system for feature selection (2010) ioport
  13. Miron Kursa; Witold Rudnicki: Feature Selection with the Boruta Package (2010) not zbMATH