References in zbMATH (referenced in 846 articles , 2 standard articles )

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  1. Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele: Modelling the role of variables in model-based cluster analysis (2018)
  2. Gascón, Alberto; Sánchez-Úbeda, Eugenio F.: Automatic specification of piecewise linear additive models: application to forecasting natural gas demand (2018)
  3. Muñoz, Mario A.; Villanova, Laura; Baatar, Davaatseren; Smith-Miles, Kate: Instance spaces for machine learning classification (2018)
  4. Panday, Deepak; Cordeiro de Amorim, Renato; Lane, Peter: Feature weighting as a tool for unsupervised feature selection (2018)
  5. Pazira, Hassan; Augugliaro, Luigi; Wit, Ernst: Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter (2018)
  6. Sagaert, Yves R.; Aghezzaf, El-Houssaine; Kourentzes, Nikolaos; Desmet, Bram: Tactical sales forecasting using a very large set of macroeconomic indicators (2018)
  7. Sloan, Ian H.; Woźniakowski, Henryk: Multivariate approximation for analytic functions with Gaussian kernels (2018)
  8. Xiang, Sijia; Yao, Weixin: Semiparametric mixtures of nonparametric regressions (2018)
  9. Al-Rawabdeh, Wasfi A.; Dalalah, Doraid: Predictive decision making under risk and uncertainty: a support vector machines model (2017)
  10. Aravkin, Aleksandr; Burke, James V.; Ljung, Lennart; Lozano, Aurelie; Pillonetto, Gianluigi: Generalized Kalman smoothing: modeling and algorithms (2017)
  11. Bou-Hamad, Imad; Anouze, Abdel Latef; Larocque, Denis: An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment (2017)
  12. Bouwmans, Thierry; Sobral, Andrews; Javed, Sajid; Jung, Soon Ki; Zahzah, El-Hadi: Decomposition into low-rank plus additive matrices for background/foreground separation: a review for a comparative evaluation with a large-scale dataset (2017)
  13. Burnaev, Evgeny; Panin, Ivan; Sudret, Bruno: Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions (2017)
  14. Calafiore, Giuseppe C.; Novara, Carlo; Taragna, Michele: Leading impulse response identification via the elastic net criterion (2017)
  15. Çevik, Alper; Weber, Gerhard-Wilhelm; Eyüboğlu, B. Murat; Oğuz, Kader Karlı: Voxel-MARS: a method for early detection of Alzheimer’s disease by classification of structural brain MRI (2017)
  16. Chen, Yunmei; Lan, Guanghui; Ouyang, Yuyuan: Accelerated schemes for a class of variational inequalities (2017)
  17. Chi, Eric C.; Allen, Genevera I.; Baraniuk, Richard G.: Convex biclustering (2017)
  18. Chintala, Soumith; Ranzato, Marc’Aurelio; Szlam, Arthur; Tian, Yuandong; Tygert, Mark; Zaremba, Wojciech: Scale-invariant learning and convolutional networks (2017)
  19. Choi, Ji Yeh; Hwang, Heungsun; Yamamoto, Michio; Jung, Kwanghee; Woodward, Todd S.: A unified approach to functional principal component analysis and functional multiple-set canonical correlation (2017)
  20. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)

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