Suchergebnisse - xgboost（extreme gradient boosting） algorithm*

Aircraft flight quality evaluation based on grey correlation analysis and XGBoost von SUN Baosong, SHI Zhiguo, PAN Xinlong, YAN Tinglong, WANG Feifan

“… ）with the XGBoost algorithm. GCA is utilized to identify flight parameters closely related to flight quality, while the XGBoost algorithm is employed to construct a flight quality assessment model …”
Volltext

Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier von Mohiuddin, Ghulam, Lin, Zhijun, Zheng, Jiangbin, Wu, Junsheng, Li, Weigang, Fang, Yifan, Wang, Sifei, Chen, Jiajun, Zeng, Xinyu

“… Due to the widespread global internet services, service providers and users face a primary problem defending their systems, specifically from a new category of …”
Volltext

The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries von Zhou, Cui, Wheelock, Åsa M., Zhang, Chutian, Ma, Jian, Dong, Kaixing, Pan, Jingxiang, Li, Zhichao, Liang, Wannian, Gao, Jing, Xu, Lei

“… ) using Extreme Gradient Boosting (XGBoost) algorithm and SHapley Additive exPlanations (SHAP …”
Volltext

XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage von Wang, Ruoran, Zhang, Jing, Shan, Baoyin, He, Min, Xu, Jianguo

“… This study is conducted to develop prognostic model using XGBoost (extreme gradient boosting …”
Volltext

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique von Ali, Amal Al, Khedr, Ahmed M., El-Bannany, Magdi, Kanakkayil, Sakeena

“… We develop an FSF model using a powerful ensemble technique, the XGBoost (eXtreme Gradient Boosting …”
Volltext

SVM-Boosting based on Markov resampling: Theory and algorithm von Jiang, Hongwei, Zou, Bin, Xu, Chen, Xu, Jie, Tang, Yuan Yan

“… In this article we introduce the idea of Markov resampling for Boosting methods. We first prove that Boosting algorithm with general convex loss function based on uniformly ergodic Markov chain (u.e.M.c …”
Volltext

Detection of Potassium Deficiency and Momentary Transpiration Rate Estimation at Early Growth Stages Using Proximal Hyperspectral Imaging and Extreme Gradient Boosting von Weksler, Shahar, Rozenstein, Offer, Haish, Nadav, Moshelion, Menachem, Wallach, Rony, Ben-Dor, Eyal

“… Potassium is a macro element in plants that is typically supplied to crops in excess throughout the season to avoid a deficit leading to reduced crop yield …”
Volltext

Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review von Nwanosike, Ezekwesiri Michael, Conway, Barbara R, Merchant, Hamid A, Hasan, Syed Shahzad

“… •ML algorithms deployed for clinical use are much fewer than expected. The advent of clinically adapted machine learning algorithms can solve numerous problems ranging from disease diagnosis and prognosis to therapy recommendations …”
Volltext

Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model von Zhang, Junyi, Ma, Xianglong, Zhang, Jialan, Sun, Deliang, Zhou, Xinzhi, Mi, Changlin, Wen, Haijia

“… (SHapley Additive explanation)-XGBoost (eXtreme Gradient Boosting) algorithm, analyze the regional characteristics and spatial heterogeneity of landslide influencing …”
Volltext

Protein structural domain-disease association prediction based on heterogeneous networks von Zhang, Jingpu, Deng, Lianping, Deng, Lei

“… Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. Small proteins are often found to be …”
Volltext

Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth von Strahlendorff, Mikko, Kröger, Anni, Prakasam, Golda, Kosmale, Miriam, Moisander, Mikko, Ovaskainen, Heikki, Poikela, Asko

“… (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms …”
Volltext

XGBoost algorithm for predicting heat transfer coefficient of saturated flow boiling in mini/micro-channels von Noh, Hyeonseok, Kim, Jihyeok, Lee, Seunghyun, Kim, Sung-Min, Mudawar, Issam

“… •The XGBoost algorithm was applied to predict saturated flow boiling heat transfer coefficients in mini/micro-channels …”
Volltext

An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting von Chakraborty, Aditya, Tsokos, Chris P

“… of patients diagnosed with pancreatic cancer using the XGBoost (eXtreme Gradient Boosting) algorithm. The grid-search mechanism was implemented to compute the optimum …”
Volltext

Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms von Guo, Yuchen, Quan, Lihong, Song, Lili, Liang, Hao

“… •The nowcasting and inversion models for urban waterlogging constructed by the AML based on genetic algorithm was recommended based on the comparison of AML, CatBoost, XGBoost and BPDNN …”
Volltext

Enhancing type 2 diabetes mellitus prediction by integrating metabolomics and tree-based boosting approaches von Arslan, Ahmet Kadir, Yagin, Fatma Hilal, Algarni, Abdulmohsen, Karaaslan, Erol, Al-Hashem, Fahaid, Ardigò, Luca Paolo

“… : Kernel-Tree Boosting; XGBoost: eXtreme Gradient Boosting; NGBoost: Natural Gradient …”
Volltext

From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes von Tomaszewski, Michał, Lukanova-Jakubowska, Anna, Majorczyk, Edyta, Dzierżanowski, Łukasz

“… Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two …”
Volltext

Predicting (n,3n) nuclear reaction cross-sections using XGBoost and Leave-One-Out Cross-Validation von Ali Üncü, Yiğit, Danışman, Taner, Özdoğan, Hasan

“… ) model based on the XGBoost (eXtreme Gradient Boosting) algorithm. By leveraging a comprehensive dataset of experimental cross-sectional values, the study …”
Volltext

Development and validation to predict visual acuity and keratometry two years after corneal crosslinking with progressive keratoconus by machine learning von Liu, Yu, Shen, Dan, Wang, Hao-yu, Qi, Meng-ying, Zeng, Qing-yan

“… To explore and validate the utility of machine learning (ML) methods using a limited sample size to predict changes in visual acuity and keratometry 2 years …”
Volltext

Ecological Security Pattern based on XGBoost-MCR model: A case study of the Three Gorges Reservoir Region von Sun, Deliang, Wu, Xiaoqing, Wen, Haijia, Ma, Xianglong, Zhang, Fengtai, Ji, Qin, Zhang, Jialan

“… (eXtreme Gradient Boosting) - MCR (Minimum Cumulative Resistance) algorithm, a comprehensive framework to analyze the ESP in the Three Gorges Reservoir Region (TGRR) is constructed …”
Volltext

Optimizing solar photovoltaic system performance: Insights and strategies for enhanced efficiency von Gawusu, Sidique, Zhang, Xiaobing, Yakubu, Sufyan, Debrah, Seth Kofi, Das, Oisik, Bundela, Nishant Singh

“… ) systems at the Bui Generating Station in Ghana using the XGBoost (Extreme Gradient Boosting …”
Volltext