Accelerating Decision-Tree-Based Inference Through Adaptive Parallelization

Gradient-boosted trees and random forests are among the most popular machine learning algorithms. They are applied to a broad spectrum of applications as diverse as search engine ranking, credit card fraud detection, customer relationship management, fault diagnosis in machinery, and geological stud...

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Vydané v:	2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT) s. 176 - 186
Hlavný autor:	Van Lunteren, Jan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.10.2023
Predmet:	decision trees Inference algorithms machine learning Multithreading parallel processing Prediction algorithms Predictive models random forests Real-time systems Search engines Technological innovation
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