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  • J. Friedman
  • Mathematics
  • 2002 (First Publication: 28 February 2002)
  • Gradient boosting constructs additive regression models by sequentially fitting a simple parameterized function (base learner) to current "pseudo'-residuals by least squares at each iteration. TheExpand
  • J. Friedman
  • Mathematics
  • 1989 (First Publication: 1 March 1989)
  • Abstract Linear and quadratic discriminant analysis are considered in the small-sample, high-dimensional setting. Alternatives to the usual maximum likelihood (plug-in) estimates for the covarianceExpand