Gradient Boosting Machine: A Survey
Machine Learning
2019-08-20 v1 Machine Learning
Abstract
In this survey, we discuss several different types of gradient boosting algorithms and illustrate their mathematical frameworks in detail: 1. introduction of gradient boosting leads to 2. objective function optimization, 3. loss function estimations, and 4. model constructions. 5. application of boosting in ranking.
Keywords
Cite
@article{arxiv.1908.06951,
title = {Gradient Boosting Machine: A Survey},
author = {Zhiyuan He and Danchen Lin and Thomas Lau and Mike Wu},
journal= {arXiv preprint arXiv:1908.06951},
year = {2019}
}