Our particular implementation of the Gradient Boosting Tree focuses more on algorithmic simplicity. While following the algorithm described in Elements of Statistical Learning, we have slightly tuned ...

Gradient-free Algorithms for Graph Embedding Graph-based data are very ubiquitous in many real-world scenarios, and it is usually difficult to mine valuable information from the large scale graphs ...

Purpose – Inspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak ...

Gradient boosting machines are a powerful method that can effectively capture complex non-linear function dependencies. This family of models has shown considerable success in various practical ...

Implement the gradient-boosting tree algorithm (with the usual fit-predict interface) as described in Sections 10.9-10.10 of Elements of Statistical Learning (2nd Edition).