A regularized logistic regression based model for supervised learning

In this work, we introduce a new regularized logistic model for the supervised classification problem. Current logistic models have become the preferred tools for supervised classification in many situations. They mostly use either L 1 or L 2 regularization of the weight vector of parameters. Here w...

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Bibliographic Details
Main Authors: Carlos Brito-Pacheco, Carlos Brito-Loeza, Anabel Martin-Gonzalez
Format: Article
Language:English
Published: SAGE Publishing 2020-11-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748302620971535