References in zbMATH (referenced in 23 articles )

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  1. Gilles Kratzer, Reinhard Furrer: varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets (2018) arXiv
  2. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  3. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  4. Marjolein Fokkema: pre: An R Package for Fitting Prediction Rule Ensembles (2017) arXiv
  5. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017)
  6. Alquier, Pierre; Ridgway, James; Chopin, Nicolas: On the properties of variational approximations of Gibbs posteriors (2016)
  7. Tutz, Gerhard; Koch, Dominik: Improved nearest neighbor classifiers by weighting and selection of predictors (2016)
  8. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  9. David Conde; Miguel Fernández; Bonifacio Salvador; Cristina Rueda: dawai: An R Package for Discriminant Analysis with Additional Information (2015)
  10. Ishwaran, Hemant: The effect of splitting on random forests (2015)
  11. Chen, Yu-Chuan; Ha, Hyejung; Kim, Hyunjoong; Ahn, Hongshik: Canonical forest (2014)
  12. Lee, Alan; Willcox, Bobby: Minkowski generalizations of Ward’s method in hierarchical clustering (2014)
  13. Miron Kursa: rFerns: An Implementation of the Random Ferns Method for General-Purpose Machine Learning (2014)
  14. Thomas Grubinger; Achim Zeileis; Karl-Peter Pfeiffer: evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R (2014)
  15. Bischl, Bernd; Schiffner, Julia; Weihs, Claus: Benchmarking local classification methods (2013)
  16. Esteban Alfaro; Matias Gamez; Noelia García: adabag: An R Package for Classification with Boosting and Bagging (2013)
  17. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  18. Sexton, Joseph; Laake, Petter: Boosted coefficient models (2012)
  19. Adler, Werner; Potapov, Sergej; Lausen, Berthold: Classification of repeated measurements data using tree-based ensemble methods (2011)
  20. Fabian Scheipl: spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R (2011)

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