BO-XGBoost

Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

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Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

Reference Information (Click Title to Read Full Text) Huang Dongmei, Wang Yifan, Hu Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised learning[J]. Electric Power Engineering Technology, 2024, 43(2):134-141. HUANG Dongmei, WANG Yifan, HU Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised … Read more

Research on Financial Fraud Prediction Model of Listed Companies Based on XGBoost

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Research on Financial Fraud Prediction Model of Listed Companies Based on XGBoost

Author Introduction Zhou Weihua，Institute of Digital Finance, Chinese Academy of Fiscal Sciences Zhai Xiaofeng，Institute of Digital Finance, Chinese Academy of Fiscal Sciences Tan Haowei，Institute of Digital Finance, Chinese Academy of Fiscal Sciences Research on Financial Fraud Prediction Model of Listed Companies Based on XGBoost Research Background In recent years, the Central Committee of the Communist … Read more

Summary of Hessian Matrix Applications in XGBoost Algorithm

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Summary of Hessian Matrix Applications in XGBoost Algorithm

Introduction The most common application of the Hessian matrix is in the Newton optimization method, which mainly seeks the extremum points of a function where the first derivative is zero. This article provides a straightforward summary of the two applications of the Hessian matrix in the XGBoost algorithm, namely the minimum child weight algorithm and … Read more