References in zbMATH (referenced in 64 articles , 1 standard article )

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  1. Gaynanova, Irina; Wang, Tianying: Sparse quadratic classification rules via linear dimension reduction (2019)
  2. Cai, Wei; Guan, Guoyu; Pan, Rui; Zhu, Xuening; Wang, Hansheng: Network linear discriminant analysis (2018)
  3. Son, Won; Lim, Johan; Wang, Xinlei: Accuracy of regularized D-rule for binary classification (2018)
  4. Wang, Cheng; Jiang, Binyan: On the dimension effect of regularized linear discriminant analysis (2018)
  5. Blagus, Rok; Lusa, Lara: Gradient boosting for high-dimensional prediction of rare events (2017)
  6. Alfons, Andreas; Croux, Christophe; Gelper, Sarah: Robust groupwise least angle regression (2016)
  7. Ames, Brendan P. W.; Hong, Mingyi: Alternating direction method of multipliers for penalized zero-variance discriminant analysis (2016)
  8. Dong, Kai; Pang, Herbert; Tong, Tiejun; Genton, Marc G.: Shrinkage-based diagonal Hotelling’s tests for high-dimensional small sample size data (2016)
  9. Perthame, Émeline; Friguet, Chloé; Causeur, David: Stability of feature selection in classification issues for high-dimensional correlated data (2016)
  10. Safo, Sandra E.; Ahn, Jeongyoun: General sparse multi-class linear discriminant analysis (2016)
  11. Xi, Maolong; Sun, Jun; Liu, Li; Fan, Fangyun; Wu, Xiaojun: Cancer feature selection and classification using a binary quantum-behaved particle swarm optimization and support vector machine (2016)
  12. Ahn, Jeongyoun; Jeon, Yongho: Sparse HDLSS discrimination with constrained data piling (2015)
  13. Durrant, Robert J.; Kabán, Ata: Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions (2015)
  14. Gaynanova, Irina; Kolar, Mladen: Optimal variable selection in multi-group sparse discriminant analysis (2015)
  15. Li, Chun-Na; Shao, Yuan-Hai; Deng, Nai-Yang: Robust L1-norm two-dimensional linear discriminant analysis (2015)
  16. Yang, Aijun; Li, Yunxian; Tang, Niansheng; Lin, Jinguan: Bayesian variable selection in multinomial probit model for classifying high-dimensional data (2015)
  17. Afsari, Bahman; Braga-Neto, Ulisses M.; Geman, Donald: Rank discriminants for predicting phenotypes from RNA expression (2014)
  18. Chi, Eric C.; Lange, Kenneth: Stable estimation of a covariance matrix guided by nuclear norm penalties (2014)
  19. Pappu, Vijay; Pardalos, Panos M.: High-dimensional data classification (2014)
  20. Guarracino, Mario Rosario; Irpino, Antonio; Jasinevicius, Raimundas; Verde, Rosanna: Fuzzy regularized generalized eigenvalue classifier with a novel membership function (2013)

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