xgboost-a-scalable-tree-boosting-system-2023-021

Tianqi Chen, Carlos Guestrin

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xgboost-a-scalable-tree-boosting-system-2023-021

Tianqi Chen, Carlos GuestrinUFTAN UNIVERSITYStatistics2023

Abstract

This record links to the XGBoost paper, which describes a scalable tree boosting system used widely in data science. It provides a strong test case for statistics metadata, predictive modelling keywords, and external link previews.

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Author: Tianqi Chen, Carlos Guestrin
Supervisor: Prof. Adewale T. Sanya
Faculty: Science
Department: Statistics
Document type: Masters Thesis
Year: 2023
Keywords: XGBoost, gradient boosting, tree ensembles, scalable machine learning, data mining
Access: Metadata
License: all_rights_reserved

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Tianqi Chen, Carlos Guestrin (2026). xgboost-a-scalable-tree-boosting-system-2023-021 [Masters Thesis]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/960

Source fields used: Tianqi Chen, Carlos Guestrin

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xgboost-a-scalable-tree-boosting-system-2023-021

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