References in zbMATH (referenced in 54 articles )

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  1. 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)
  2. Bischl, Bernd; Kühn, Tobias; Szepannek, Gero: On class imbalance correction for classification algorithms in credit scoring (2016)
  3. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  4. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  5. Hadiji, Fabian; Molina, Alejandro; Natarajan, Sriraam; Kersting, Kristian: Poisson dependency networks: gradient boosted models for multivariate count data (2015)
  6. Hothorn, Torsten: partykit: a modular toolkit for recursive partytioning in $\mathsf R$ (2015)
  7. Kubrusly, Jessica; Lopes, Hélio: Constructive regression on implicit regions (2015)
  8. Mathlouthi, Walid; Fredette, Marc; Larocque, Denis: Regression trees and forests for non-homogeneous Poisson processes (2015)
  9. Zhou, Yan; McArdle, John J.: Rationale and applications of survival tree and survival ensemble methods (2015)
  10. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  11. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  12. Bischl, Bernd; Schiffner, Julia; Weihs, Claus: Benchmarking local classification methods (2013)
  13. Hino, Hideitsu; Murata, Noboru: Information estimators for weighted observations (2013)
  14. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  15. Lee, Yoon Dong; Cook, Dianne; Park, Ji-Won; Lee, Eun-Kyung: PPtree: projection pursuit classification tree (2013)
  16. Rusch, Thomas; Lee, Ilro; Hornik, Kurt; Jank, Wolfgang; Zeileis, Achim: Influencing elections with statistics: Targeting voters with logistic regression trees (2013)
  17. Schlittgen, Rainer: Regression analyses with R (2013)
  18. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)
  19. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  20. Hapfelmeier, A.; Hothorn, T.; Ulm, K.: Recursive partitioning on incomplete data using surrogate decisions and multiple imputation (2012)

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