Results 11 to 20 of about 16,703 (255)
Impact of lightGBM hyperparameters on class imbalance [PDF]
Class imbalance is a common problem in Machine Learning (ML) that introduces bias during the training phase of ML models, compromising their accuracy and reliability. This problem is particularly critical in fields such as disease diagnosis and credit risk assessment, where it is crucial to accurately predict the minority class.
Caballero Castro, Joan
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A Hybrid LSTM-LightGBM Model for Precise Short-Term Wind Power Forecasting [PDF]
, 2023 This paper proposes a novel hybrid model that combines long short term memory LSTM with light gradient boosting LightGBM to achieve precise onshore wind power prediction in Australia The intermittent nature of renewable energy sources like wind power ...
Islam, MR +4 more
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GRU-MMattention-LightGBM model prediction process.
, 2023 GRU-MMattention-LightGBM model prediction process.
Shaokun Liang (14439551) +4 more
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Optimizing Bank Marketing Strategies Through Analysis Using Lightgbm
CoreID Journal, 2023 Marketing campaigns in a bank are one of the ways for the bank to achieve its organizational goals. Optimal marketing is a crucial factor for a bank's success in attracting and retaining customers.
Erindra Reynaldi Diaz Aditya +1 more
doaj +1 more source
UWB Wireless Positioning Method Based on LightGBM
Wireless Personal Communications, 2023 Abstract In the ultra-wideband indoor positioning sceneraio, the non-line of sight (NLOS) propagation may be caused by obstacles, which may lead to the deviation of ranging value and affect the positioning precision. Therefore, we propose a NLOS identification and error regression positioning algorithm based on light gradient boosting machine ...
Xuerong Cui +5 more
openaire +1 more source
ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete [PDF]
, 2023 The main goal of the present study is to investigate the capability of hybridizing the imperialist competitive algorithm (ICA) with an intelligent, robust, and data-driven technique named the light gradient boosting machine (LightGBM) to estimate the ...
Rasekh, H +4 more
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AutoEncoder and LightGBM for Credit Card Fraud Detection Problems
, 2023 This paper proposes a method called autoencoder with probabilistic LightGBM (AED-LGB) for detecting credit card frauds. This deep learning-based AED-LGB algorithm first extracts low-dimensional feature data from high-dimensional bank credit card feature ...
Haichao Du +3 more
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Atmosphere, 2023 The atmospheric environment is of great importance to human health. However, its influencing factors are complex and variable. An efficient technique is required to more precisely estimate PM2.5 concentration values.
Xuehu Liu +3 more
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Comparison of GA-XGBoost with XGBoost and LightGBM test results.
, 2023 Comparison of GA-XGBoost with XGBoost and LightGBM test results.
Ke Peng (2220973) +2 more
core +1 more source
Research on electrical power quality disturbance recognition method based on edge computing and LightGBM [PDF]
ITM Web of Conferences, 2022 In conventional cloud computing, method that data is transmitted and calculated on the cloud cannot satisfy the real-time demand for energy quality disturbance recognition.
Zhu Wenjun +4 more
doaj +1 more source