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