A new formulation of gradient boosting
In the setting of regression, the standard formulation of gradient boosting generates a sequence of improvements to a constant model. In this paper, we reformulate gradient boosting such that it is able to generate a sequence of improvements to a nonconstant model, which may contain prior knowledge...
Saved in:
Main Authors: | Wozniakowski, Alex, Thompson, Jane, Gu, Mile, Binder, Felix C. |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164179 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Inferring spread of readers’ emotion affected by online news
by: SULISTYA, Agus, et al.
Published: (2017) -
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
by: Liu, Nan, et al.
Published: (2018) -
Optimising ensemble combination based on maximisation of diversity
by: Mao, Shasha, et al.
Published: (2018) -
Gradient boosting machines, a tutorial
by: Natekin, A, et al.
Published: (2020) -
Multi-target selection and high throughput quantitative structure-activity relationship model development
by: LIU XIN
Published: (2013)