References in zbMATH (referenced in 1102 articles , 2 standard articles )

Showing results 1 to 20 of 1102.
Sorted by year (citations)

1 2 3 ... 54 55 56 next

  1. Flores, Hector; Villalobos, J. Rene: A stochastic planning framework for the discovery of complementary, agricultural systems (2020)
  2. Martínez, Andrés; Schmuck, Claudia; Pereverzyev, Sergiy; Pirker, Clemens; Haltmeier, Markus: A machine learning framework for customer purchase prediction in the non-contractual setting (2020)
  3. Abpeykar, Shadi; Ghatee, Mehdi; Zare, Hadi: Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification (2019)
  4. Adler, Robert J.; Agami, Sarit: Modelling persistence diagrams with planar point processes, and revealing topology with bagplots (2019)
  5. Afendras, Georgios; Markatou, Marianthi: Optimality of training/test size and resampling effectiveness in cross-validation (2019)
  6. Aït-Sahalia, Yacine; Xiu, Dacheng: Principal component analysis of high-frequency data (2019)
  7. Angelelli, Mario: Complexity reduction for sign configurations through the KP II equation and its information-theoretic aspects (2019)
  8. Arakelian, Veni; Dellaportas, Petros; Savona, Roberto; Vezzoli, Marika: Sovereign risk zones in Europe during and after the debt crisis (2019)
  9. Arashi, M.; Roozbeh, Mahdi: Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data (2019)
  10. Aravkin, Aleksandr Y.; Bottegal, Giulio; Pillonetto, Gianluigi: Boosting as a kernel-based method (2019)
  11. Azencott, Robert; Muravina, Viktoria; Hekmati, Rasoul; Zhang, Wei; Paldino, Michael: Automatic clustering in large sets of time series (2019)
  12. Bacinello, Anna Rita; Zoccolan, Ivan: Variable annuities with a threshold fee: valuation, numerical implementation and comparative static analysis (2019)
  13. Barrera, David; Gobet, Emmanuel: Quantitative bounds for concentration-of-measure inequalities and empirical regression: the independent case (2019)
  14. Bauer, Benedikt; Heimrich, Felix; Kohler, Michael; Krzyżak, Adam: On estimation of surrogate models for multivariate computer experiments (2019)
  15. Bax, Eric; Weng, Lingjie; Tian, Xu: Speculate-correct error bounds for (k)-nearest neighbor classifiers (2019)
  16. Biau, G.; Cadre, B.; Rouvière, L.: Accelerated gradient boosting (2019)
  17. Bien, Jacob: Graph-guided banding of the covariance matrix (2019)
  18. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  19. Brunori, Paolo; Peragine, Vito; Serlenga, Laura: Upward and downward bias when measuring inequality of opportunity (2019)
  20. Chang, Bo; Joe, Harry: Prediction based on conditional distributions of vine copulas (2019)

1 2 3 ... 54 55 56 next