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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.
Alois C. Knoll
exaly   +3 more sources

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Online Risk Measure Estimation VIA Natural Gradient Boosting

2020 Winter Simulation Conference (WSC), 2020
Estimating risk measures of a portfolio with financial derivatives in real time is an important yet challenging task. Since it costs some time to conduct simulation experiments, traditional nested simulation methods may not be well applied. In this paper, we propose to use a natural gradient boosting (NGBoost) approach to estimate the conditional ...
Xiaoting Cai, Yang Yang, Guangxin Jiang
openaire   +1 more source

Battery State of Charge Probabilistic Estimation Using Natural Gradient Boosting

IEEE Transactions on Industrial Electronics
Bin Li, Chao Li, Guanzheng Li
exaly   +3 more sources

Boosting Black-Box Variational Inference by Incorporating the Natural Gradient

2018 24th International Conference on Pattern Recognition (ICPR), 2018
In this paper we present a modification of the popular Black-Box Variational Inference (BBVI) approach which significantly improves the computational efficiency of the inference. We achieve this performance boost by replacing the standard gradient in the stochastic gradient ascent framework of BBVI with the natural gradient. Our experimental results (e.
Felix Trusheim, Alexandru Condurache, Alfred Mertins   +2 more
openaire   +2 more sources

Gradient Boosting Hybridized with Exponential Natural Evolution Strategies for Estimating the Strength of Geopolymer Self-Compacting Concrete

Knowledge-Based Engineering and Sciences, 2022
The current global demand to minimize carbon dioxide (CO2$) emissions from Portland cement manufacturing processes has led to the use of environmentally friendly additives in cement products. The so-called green cementitious composites have become increasingly essential in the design of cementitious composite mixtures, providing the environmental ...
Samuel Alves Basilio, Leonardo Goliatt
openaire   +1 more source

Physics-Based Natural Gradient Boosting Probabilistic Prediction Model for Seismic Failure Modes of Reinforced Concrete Columns

Structures
Hao Cheng, Bo Yu
exaly   +2 more sources

Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables

Engineering, Construction and Architectural Management, 2023
PurposeEarned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously developed to improve the accuracy and actualization of predicted values. This study primarily aimed to examine natural gradient boosting (NGBoost-2020) with the classification and regression trees ...
Farshad Peiman, Mohammad Khalilzadeh, Nasser Shahsavari-Pour, Mehdi Ravanshadnia   +3 more
openaire   +1 more source

Injury Severity Prediction and Exploration of Behavior-Cause Relationships in Automotive Crashes Using Natural Language Processing and Extreme Gradient Boosting

Engineering Applications of Artificial Intelligence
Yueru Xu, Yijia Zhang, Xiaomeng Shi
exaly   +3 more sources

Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees

Science of The Total Environment, 2019
Nowadays, more and more conventional diesel buses are being replaced by new-energy buses in many cities in China. Although new-energy buses are more environmentally friendly compared with traditional diesel buses, they may also generate kinds of greenhouse gases as well as harmful pollutants.
Yingjiu, Pan, Shuyan, Chen, Fengxiang, Qiao, Satish V, Ukkusuri, Kun, Tang   +4 more
openaire   +2 more sources

GF-NGB: A Graph-Fusion Natural Gradient Boosting Framework for Pavement Roughness Prediction Using Multi-Source Data

Symmetry
Pavement roughness is a critical indicator for road maintenance decisions and driving safety assessment. Existing methods primarily rely on multi-source explicit features, which have limited capability in capturing implicit information such as spatial ...
Lili Pei, Liumei Zhang
exaly   +2 more sources