e1071

R package e1071: Misc Functions of the Department of Statistics (e1071), TU Wien. Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...


References in zbMATH (referenced in 103 articles )

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  1. Conde, David; Fernández, Miguel A.; Rueda, Cristina; Salvador, Bonifacio: Isotonic boosting classification rules (2021)
  2. Ertefaie, Ashkan; McKay, James R.; Oslin, David; Strawderman, Robert L.: Robust Q-learning (2021)
  3. Kolosova, Tanya; Berestizhevsky, Samuel: Supervised machine learning. Optimization framework and applications with SAS and R (2021)
  4. Ma, Shaohui; Fildes, Robert: Retail sales forecasting with meta-learning (2021)
  5. Begüm D. Topçuoğlu; Zena Lapp; Kelly L. Sovacool; Evan Snitkin; Jenna Wiens; Patrick D. Schloss: mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines (2020) not zbMATH
  6. Blanco, Víctor; Japón, Alberto; Puerto, Justo: Optimal arrangements of hyperplanes for SVM-based multiclass classification (2020)
  7. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  8. Cai, Zhanrui; Li, Runze; Zhu, Liping: Online sufficient dimension reduction through sliced inverse regression (2020)
  9. Elman, Miriam R.; Minnier, Jessica; Chang, Xiaohui; Choi, Dongseok: Noise accumulation in high dimensional classification and total signal index (2020)
  10. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  11. Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)
  12. Khan, Zardad; Gul, Asma; Perperoglou, Aris; Miftahuddin, Miftahuddin; Mahmoud, Osama; Adler, Werner; Lausen, Berthold: Ensemble of optimal trees, random forest and random projection ensemble classification (2020)
  13. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  14. Pan, Yuqing; Mai, Qing: Efficient computation for differential network analysis with applications to quadratic discriminant analysis (2020)
  15. Ribeiro, Rita P.; Moniz, Nuno: Imbalanced regression and extreme value prediction (2020)
  16. Sheng, Ying; Wang, Qihua: Model-free feature screening for ultrahigh dimensional classification (2020)
  17. Bagirov, Adil; Taheri, Sona; Asadi, Soodabeh: A difference of convex optimization algorithm for piecewise linear regression (2019)
  18. Bak, Kwan-Young; Jhong, Jae-Hwan; Koo, Ja-Yong: Spatially adaptive binary classifier using B-splines and total variation penalty (2019)
  19. Christoph Mssel, Ludwig Lausser, Markus Maucher, Hans A. Kestler: Multi-Objective Parameter Selection for Classifiers (2019) not zbMATH
  20. Cichosz, Paweł: A case study in text mining of discussion forum posts: classification with bag of words and global vectors (2019)

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