References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
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  1. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  2. Bischl, Bernd; Lang, Michel; Kotthoff, Lars; Schiffner, Julia; Richter, Jakob; Studerus, Erich; Casalicchio, Giuseppe; Jones, Zachary M.: mlr: machine learning in $\bold R$ (2016)
  3. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  4. Zhou, Yan; McArdle, John J.: Rationale and applications of survival tree and survival ensemble methods (2015)
  5. Schnitzer, Mireille E.; der laan, Mark J.; Moodie, Erica E. M.; Platt, Robert W.: Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data (2014)
  6. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  7. Sexton, Joseph; Laake, Petter: Boosted coefficient models (2012)
  8. Ulla Mogensen; Hemant Ishwaran; Thomas Gerds: Evaluating Random Forests for Survival Analysis Using Prediction Error Curves (2012)
  9. Adler, Werner; Brenning, Alexander; Potapov, Sergej; Schmid, Matthias; Lausen, Berthold: Ensemble classification of paired data (2011)
  10. Adler, Werner; Potapov, Sergej; Lausen, Berthold: Classification of repeated measurements data using tree-based ensemble methods (2011)
  11. Bou-Hamad, Imad; Larocque, Denis; Ben-Ameur, Hatem: A review of survival trees (2011)
  12. Siroky, David S.: Navigating random forests and related advances in algorithmic modeling (2009)
  13. Kim-Anh Lê Cao; Patrick Chabrier: ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method (2008)
  14. Max Kuhn: Building Predictive Models in R Using the caret Package (2008)
  15. Ligges, Uwe: Programming with R (2007)
  16. Hothorn, Torsten; Lausen, Berthold: Double-bagging: Combining classifiers by bootstrap aggregation (2003)