Search Results - LOGISTIC REGRESSION

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    TRANSFER LEARNING BASED ON LOGISTIC REGRESSION by A. Paul, F. Rottensteiner, C. Heipke

    “…The main novel contribution is a method for transductive transfer learning in remote sensing on the basis of logistic regression. Logistic regression is a discriminative probabilistic classifier of low computational complexity, which can deal with multiclass problems. …”
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    A three-parameter logistic regression model by Xiaoli Yu, Shaoting Li, Jiahua Chen

    Published in Statistical Theory and Related Fields (2021-07-01)
    “…In this paper, we investigate the effectiveness of the sequential ED-design, the D-optimal design, and the up-and-down design under the three-parameter logistic regression model, and we develop a numerical method for the parameter estimation. …”
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    Targeting: Logistic Regression, Special Cases and Extensions by Helmut Schaeben

    “…Logistic regression is a classical linear model for logit-transformed conditional probabilities of a binary target variable. …”
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    Enabling Equal Opportunity in Logistic Regression Algorithm by Sandro Radovanović, Marko Ivić

    Published in Management (2023-09-01)
    “…Research Question: This paper aims at adjusting the logistic regression algorithm to mitigate unwanted discrimination shown towards race, gender, etc. …”
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    Supporting Regularized Logistic Regression Privately and Efficiently. by Wenfa Li, Hongzhe Liu, Peng Yang, Wei Xie

    Published in PLoS ONE (2016-01-01)
    “…As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. …”
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    Bayesian Logistic Regression Model for Sub-Areas by Lu Chen, Balgobin Nandram

    Published in Stats (2023-01-01)
    “…To make an inference for the finite population proportion of individuals in each household, we use the sub-area logistic regression model with reliable auxiliary information. …”
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    Bayesian Lasso and multinomial logistic regression on GPU. by Rok Češnovar, Erik Štrumbelj

    Published in PLoS ONE (2017-01-01)
    “…Our GPU implementations of Bayesian Lasso and multinomial logistic regression achieve 100-fold speedups on mid-level and high-end GPUs. …”
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