Results 1 to 10 of about 61,068 (254)

Gradient Boosting Machines, A Tutorial [PDF]

Frontiers in Neurorobotics, 2013
Gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications.
Alexey eNatekin, Alois eKnoll
doaj   +6 more sources

A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices

Engineering Reports, 2023
The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms in predicting house prices.
Racheal Sibindi, Ronald Waweru Mwangi, Anthony Gichuhi Waititu   +2 more
doaj   +3 more sources

Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice [PDF]

G3: Genes, Genomes, Genetics, 2022
We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP
Bruno C Perez, Marco C A M Bink, Karen L Svenson, Gary A Churchill, Mario P L Calus   +4 more
doaj   +2 more sources

Interpretable machine learning with an ensemble of gradient boosting machines [PDF]

Knowledge-Based Systems, 2021
A method for the local and global interpretation of a black-box model on the basis of the well-known generalized additive models is proposed. It can be viewed as an extension or a modification of the algorithm using the neural additive model. The method is based on using an ensemble of gradient boosting machines (GBMs) such that each GBM is learned on ...
Andrei Konstantinov, Lev Utkin
exaly   +3 more sources

Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM). [PDF]

Diagnostics (Basel), 2021
Diabetes mellitus (DM) is a severe chronic disease that affects human health and has a high prevalence worldwide. Research has shown that half of the diabetic people throughout the world are unaware that they have DM and its complications are increasing, which presents new research challenges and opportunities.
Rufo DD, Debelee TG, Ibenthal A, Negera WG.   +3 more
europepmc   +5 more sources

Development and comparison of 1-year survival models in patients with primary bone sarcomas: External validation of a Bayesian belief network model and creation and external validation of a new gradient boosting machine model [PDF]

SAGE Open Medicine, 2022
Background: Bone sarcomas often present late with advanced stage at diagnosis and an according, varying short-term survival. In 2016, Nandra et al. generated a Bayesian belief network model for 1-year survival in patients with bone sarcomas.
Christina E Holm, Clare F Grazal, Mathias Raedkjaer, Thomas Baad-Hansen, Rajpal Nandra, Robert Grimer, Jonathan A Forsberg, Michael Moerk Petersen, Michala Skovlund Soerensen   +8 more
doaj   +2 more sources

Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine

Scientific Reports
The growing application of carbon dioxide (CO2) in various environmental and energy fields, including carbon capture and storage (CCS) and several CO2-based enhanced oil recovery (EOR) techniques, highlights the importance of studying the phase ...
Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, Ali Abedi, Meftah Ali Abuswer, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh   +7 more
doaj   +3 more sources

South America Seasonal Precipitation Prediction by Gradient-Boosting Machine-Learning Approach

Atmosphere, 2022
Machine learning has experienced great success in many applications. Precipitation is a hard meteorological variable to predict, but it has a strong impact on society.
Vinicius Schmidt Monego, Juliana Aparecida Anochi, Haroldo Fraga de Campos Velho   +2 more
doaj   +3 more sources

A Gradient Boosting Machine for Hierarchically Clustered Data. [PDF]

Multivariate Behav Res, 2017
As increasingly larger data sets are collected (big data), exploratory data analysis to develop predictive models becomes more important but more challenging.
Miller PJ, McArtor DB, Lubke GH.
europepmc   +4 more sources

Randomized Gradient Boosting Machine [PDF]

SIAM Journal on Optimization, 2020
Gradient Boosting Machine (GBM) introduced by Friedman is a powerful supervised learning algorithm that is very widely used in practice---it routinely features as a leading algorithm in machine learning competitions such as Kaggle and the KDDCup. In spite of the usefulness of GBM in practice, our current theoretical understanding of this method is ...
Haihao Lu, Rahul Mazumder
openaire   +5 more sources