References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  2. Bagirov, Adil; Taheri, Sona; Asadi, Soodabeh: A difference of convex optimization algorithm for piecewise linear regression (2019)
  3. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  4. Tu, Chunhao: Comparison of various machine learning algorithms for estimating generalized propensity score (2019)
  5. Bogaert, Matthias; Ballings, Michel; Van den Poel, Dirk: Evaluating the importance of different communication types in romantic tie prediction on social media (2018)
  6. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  7. Bogaert, Matthias; Ballings, Michel; Hosten, Martijn; Van den Poel, Dirk: Identifying soccer players on Facebook through predictive analytics (2017)
  8. Bryon Aragam, Jiaying Gu, Qing Zhou: Learning Large-Scale Bayesian Networks with the sparsebn Package (2017) arXiv
  9. Samuel Lendle; Joshua Schwab; Maya Petersen; Mark van der Laan: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data (2017) not zbMATH
  10. Lala Riza; Christoph Bergmeir; Francisco Herrera; José Benítez: frbs: Fuzzy Rule-Based Systems for Classification and Regression in R (2015) not zbMATH
  11. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  12. Broderick, Tamara; Gramacy, Robert B.: Classification and categorical inputs with treed Gaussian process models (2011)
  13. Friedrich Leisch; Bettina Grün: FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters (2008) not zbMATH
  14. Max Kuhn: Building Predictive Models in R Using the caret Package (2008) not zbMATH