QBoost: Predicting quantiles with boosting for regression and binary classification

Author:

Zheng Songfeng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Boosting algorithms: Regularization, prediction and model fitting;Bühlmann;Statistical Science,2007

2. Boosting with the L2-loss: Regression and classification;Bühlmann;Journal of the American Statistical Association,2003

3. A gentle introduction to quantile regression for ecologists;Cade;Frontiers in Ecology and the Environment,2003

4. Boosting for tumor classification with gene expression data;Dettling;Bioinformatics,2003

5. Solving multiclass learning problems via error-correcting output codes;Dietterich;Journal of Artificial Intelligence Research,1995

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