References in zbMATH (referenced in 58 articles )

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  1. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  2. Azam, Muhammad; Aslam, Muhammad; Pfeiffer, Karl Peter: Three steps strategy to search for optimum classification trees (2016)
  3. Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Fréchette, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin; Vanschoren, Joaquin: ASlib: a benchmark library for algorithm selection (2016)
  4. Bischl, Bernd; Kühn, Tobias; Szepannek, Gero: On class imbalance correction for classification algorithms in credit scoring (2016)
  5. Dinwoodie, Ian H.: Computational methods for asynchronous basins (2016)
  6. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  7. Ustun, Berk; Rudin, Cynthia: Supersparse linear integer models for optimized medical scoring systems (2016)
  8. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  9. Hadiji, Fabian; Molina, Alejandro; Natarajan, Sriraam; Kersting, Kristian: Poisson dependency networks: gradient boosted models for multivariate count data (2015)
  10. Hothorn, Torsten: partykit: a modular toolkit for recursive partytioning in R (2015)
  11. Kubrusly, Jessica; Lopes, Hélio: Constructive regression on implicit regions (2015)
  12. Mathlouthi, Walid; Fredette, Marc; Larocque, Denis: Regression trees and forests for non-homogeneous Poisson processes (2015)
  13. Zhou, Yan; McArdle, John J.: Rationale and applications of survival tree and survival ensemble methods (2015)
  14. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  15. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  16. Bischl, Bernd; Schiffner, Julia; Weihs, Claus: Benchmarking local classification methods (2013)
  17. Hino, Hideitsu; Murata, Noboru: Information estimators for weighted observations (2013)
  18. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  19. Lee, Yoon Dong; Cook, Dianne; Park, Ji-Won; Lee, Eun-Kyung: PPtree: projection pursuit classification tree (2013)
  20. Rusch, Thomas; Lee, Ilro; Hornik, Kurt; Jank, Wolfgang; Zeileis, Achim: Influencing elections with statistics: Targeting voters with logistic regression trees (2013)

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