Examining non-linear associations between population density and waist-hip ratio: An application of gradient boosting decision trees
Sign Up to like & getrecommendations! Published in 2020 at "Cities"
DOI: 10.1016/j.cities.2020.102899
Abstract: Abstract Many studies have explored the relationship between population density and obesity, but there is no consensus, particularly in dense Chinese cities. This study applied gradient boosting decision trees to 2014 national survey data to… read more here.
Keywords: population density; gradient boosting; boosting decision; decision trees ... See more keywords
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Pavement Engineering"
DOI: 10.1080/10298436.2021.1910825
Abstract: This paper proposes an ensemble learning model that deploys a Gradient Boosting Decision Tree (GBDT) to predict two relevant functional indices, the International roughness index (IRI) and the rut ... read more here.
Keywords: gradient boosting; boosting decision; ensemble learning; learning model ... See more keywords
Analysis of the State of High-Voltage Current Transformers Based on Gradient Boosting on Decision Trees
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2020.3021702
Abstract: This paper addresses the problem of instrument current transformers technical state assessment based on machine learning methods. The introductory parts of the paper provide a detailed analysis of modern methods and approaches for technical state… read more here.
Keywords: state; high voltage; gradient boosting; boosting decision ... See more keywords
A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification
Sign Up to like & getrecommendations! Published in 2020 at "Geophysics"
DOI: 10.1190/geo2019-0429.1
Abstract: Lithology identification based on conventional well-logging data is of great importance for geologic features characterization and reservoir quality evaluation in the exploration and production development of petroleum reservoirs. However, there are some limitations in the… read more here.
Keywords: gradient boosting; lithology identification; boosting decision; identification ... See more keywords
Estimation of Gourami Supplies Using Gradient Boosting Decision Tree Method of XGBoost
Sign Up to like & getrecommendations! Published in 2021 at "TEM Journal"
DOI: 10.18421/tem101-17
Abstract: The need for food supplies are very crucial in a food business, therefore it is necessary to estimate the right supplies to maximize profit. One of the methods to determine these is by looking for… read more here.
Keywords: gradient boosting; supplies using; decision tree; gourami supplies ... See more keywords
Determination of Corrosion Types from Electrochemical Noise by Gradient Boosting Decision Tree Method
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Electrochemical Science"
DOI: 10.20964/2019.02.72
Abstract: The corrosion behavior of X65 steel and 304 stainless steel (SS) was investigated in typical passivation, uniform corrosion and pitting solution systems by electrochemical noise (EN) technique. Eleven characteristic parameters were extracted from EN data… read more here.
Keywords: gradient boosting; electrochemical noise; corrosion; boosting decision ... See more keywords
Large-Scale Gastric Cancer Susceptibility Gene Identification Based on Gradient Boosting Decision Tree
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2021.815243
Abstract: The early clinical symptoms of gastric cancer are not obvious, and metastasis may have occurred at the time of treatment. Poor prognosis is one of the important reasons for the high mortality of gastric cancer.… read more here.
Keywords: based gradient; boosting decision; gastric cancer; gradient boosting ... See more keywords
GBDTCDA: Predicting circRNA-disease Associations Based on Gradient Boosting Decision Tree with Multiple Biological Data Fusion
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Biological Sciences"
DOI: 10.7150/ijbs.33806
Abstract: Circular RNA (circRNA) is a closed-loop structural non-coding RNA molecule which plays a significant role during the gene regulation processes. There are many previous studies shown that circRNAs can be regarded as the sponges of… read more here.
Keywords: circrna disease; gradient boosting; disease associations; disease ... See more keywords