References in zbMATH (referenced in 1190 articles , 2 standard articles )

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  1. Bain, Travaughn C.; Avila-Herrera, Juan F.; Subasi, Ersoy; Subasi, Munevver Mine: Logical analysis of multiclass data with relaxed patterns (2020)
  2. Bedoui, Adel; Lazar, Nicole A.: Bayesian empirical likelihood for ridge and Lasso regressions (2020)
  3. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  4. Eftekhari, Armin; Hauser, Raphael A.: Principal component analysis by optimization of symmetric functions has no spurious local optima (2020)
  5. Flores, Hector; Villalobos, J. Rene: A stochastic planning framework for the discovery of complementary, agricultural systems (2020)
  6. Furmańczyk, Konrad; Rejchel, Wojciech: High-dimensional linear model selection motivated by multiple testing (2020)
  7. Glaws, Andrew; Constantine, Paul G.; Cook, R. Dennis: Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (2020)
  8. Janßen, Anja; Wan, Phyllis: (k)-means clustering of extremes (2020)
  9. 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)
  10. Lee, Gee Y.; Manski, Scott; Maiti, Tapabrata: Actuarial applications of word embedding models (2020)
  11. Liu, Mengque; Zhang, Qingzhao; Fang, Kuangnan; Ma, Shuangge: Structured analysis of the high-dimensional FMR model (2020)
  12. Liu, Xiaohui; Luo, Shihua; Zuo, Yijun: Some results on the computing of Tukey’s halfspace median (2020)
  13. Luini, E.; Arbenz, P.: Density estimation of multivariate samples using Wasserstein distance (2020)
  14. Moreno, Sebastián; Pereira, Jordi; Yushimito, Wilfredo: A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution (2020)
  15. Rabinowicz, Assaf; Rosset, Saharon: Assessing prediction error at interpolation and extrapolation points (2020)
  16. Voelkel, Michael A.; Sachs, Anna-Lena; Thonemann, Ulrich W.: An aggregation-based approximate dynamic programming approach for the periodic review model with random yield (2020)
  17. Winkler, Joab R.; Mitrouli, Marilena: Condition estimation for regression and feature selection (2020)
  18. Abpeykar, Shadi; Ghatee, Mehdi; Zare, Hadi: Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification (2019)
  19. Adler, Robert J.; Agami, Sarit: Modelling persistence diagrams with planar point processes, and revealing topology with bagplots (2019)
  20. Afendras, Georgios; Markatou, Marianthi: Optimality of training/test size and resampling effectiveness in cross-validation (2019)

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