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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Bibliographic Details

Published in:	2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT) pp. 176 - 186
Main Author:	Van Lunteren, Jan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.10.2023
Subjects:	decision trees Inference algorithms machine learning Multithreading parallel processing Prediction algorithms Predictive models random forests Real-time systems Search engines Technological innovation
Online Access:	Get full text
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