Gradient Boosting Machine: A Survey
Zhiyuan He, Danchen Lin, Thomas Lau, Mike Wu · arXiv (Cornell University) · 2019
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.