Results 1 to 10 of about 33,486 (254)
Accelerating the XGBoost algorithm using GPU computing [PDF]
PeerJ Computer Science, 2017 We present a CUDA-based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost. The tree construction algorithm is executed entirely on the graphics processing unit (GPU) and shows high performance with a ...
Rory Mitchell, Eibe Frank
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Gene Expression Value Prediction Based on XGBoost Algorithm [PDF]
Frontiers in Genetics, 2019 Gene expression profiling has been widely used to characterize cell status to reflect the health of the body, to diagnose genetic diseases, etc. In recent years, although the cost of genome-wide expression profiling is gradually decreasing, the cost of collecting expression profiles for thousands of genes is still very high.
Yanbin Yin, Han Zhang, Xiongwen Quan
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An Indoor Fingerprint Positioning Algorithm Based on WKNN and Improved XGBoost
Sensors, 2023 Considering the low indoor positioning accuracy and poor positioning stability of traditional machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted k-nearest neighbors (WKNN) and extreme gradient boosting (XGBoost ...
Haizhao Lu +6 more
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THUNDERSTORM WEATHER ANALYSIS BASED ON XGBOOST ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Using the GPS data service platform of China seismological bureau to get the ZTD separated ZWD data pair and the content in the air, and by detecting the O3 value in the air is an effective method to analyze and study the thunderstorm weather.This paper ...
L. L. Liu, H. C. Liu, C. F. Zhu
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Feature selection algorithm based on XGBoost
Tongxin xuebao, 2019 Feature selection in classification has always been an important but difficult problem.This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy,but also reduce the redundant ...
Zhanshan LI, Zhaogeng LIU
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An Optimal House Price Prediction Algorithm: XGBoost
AnalyticsAn accurate prediction of house prices is a fundamental requirement for various sectors, including real estate and mortgage lending. It is widely recognized that a property’s value is not solely determined by its physical attributes but is significantly ...
Hemlata Sharma +2 more
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Energies, 2022 To mine the battery’s health factors more comprehensively and accurately identify the lithium battery’s State of Health (SOH), an Improved Douglas–Peucker feature extraction algorithm is proposed, and the LAOS-XGboost model is proposed to be used to ...
Mei Zhang, Wanli Chen, Jun Yin, Tao Feng
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XGBoost for Imbalanced Data Based on Cost-sensitive Activation Function [PDF]
Jisuanji kexue, 2022 For binary classification with category imbalance,acost-sensitive activation function XGBoost algorithm(CSAF-XGBoost) is proposed to promote the ability of recognizing minority samples.When XGBoost algorithm constructs decision trees,unbalanced data will
LI Jing-tai, WANG Xiao-dan
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Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]
Jisuanji kexue, 2021 In order to improve the performance of complex network link prediction,topology similarity and XGBoost algorithm are used to complete link prediction in complex network.According to the topological structure of complex network,the adjacency matrix is ...
GONG Zhui-fei, WEI Chuan-jia
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Clinical and Experimental Obstetrics & Gynecology, 2023 Background: To construct a predictive model for fetal growth restriction (FGR) in preeclampsia (PE) patients using extreme Gradient Boosting (XGBoost) algorithm.
Haijuan Li, Sumei Wang, Chunyu Zhan
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