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Fast binary logistic regression

This study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community. Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel...

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Bibliografski detalji
Glavni autori: Nurdan Ayse Saran, Fatih Nar
Format: Artigo
Jezik:Inglês
Izdano: PeerJ Inc. 2025-01-01
Serija:PeerJ Computer Science
Teme:
Online pristup:https://peerj.com/articles/cs-2579.pdf
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