A comparative analysis of gradient boosting algorithms

2020 · Artificial Intelligence Review · 2,692 citations · 0 from inside this corpus

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4 of 4 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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What this paper cites, inside the corpus

Paper	Year	Cited
Random Forests	2001	131,109
XGBoost	2016	52,304
Greedy function approximation: A gradient boosting machine.	2001	30,137
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…	2000	2,962

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning and Data Classification	Computer Science
Face and Expression Recognition	Computer Science
Stochastic Gradient Optimization Techniques	Computer Science

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partial

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weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
supports17 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

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