Parameter optimization of logistic regression classifiers

被引:0
|
作者
Jason S Sherwin
Josh Chartier
机构
[1] Columbia University,Department of Biomedical Engineering
[2] U.S. Army Aberdeen Proving Ground,Human Research and Engineering Directorate
[3] Rice University,Department of Biomedical Engineering
关键词
Genetic Algorithm; Window Size; Crossover Probability; Classifier Parameter; Discrete Parameter;
D O I
10.1186/1471-2202-14-S1-P62
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] A variational method for parameter estimation in a logistic spatial regression
    Hardouin, Cecile
    SPATIAL STATISTICS, 2019, 31
  • [22] Parameter Interpretation in Skewed Logistic Regression with Random Intercept
    Santos, Cristiano C.
    Loschi, Rosangela H.
    Arellano-Valle, Reinaldo B.
    BAYESIAN ANALYSIS, 2013, 8 (02): : 381 - 410
  • [23] Infinite parameter estimates in logistic regression: Opportunities, not problems
    Rindskopf, D
    JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2002, 27 (02) : 147 - 161
  • [24] Logistic Regression Model Optimization and Case Analysis
    Zou, Xiaonan
    Hu, Yong
    Tian, Zhewen
    Shen, Kaiyuan
    PROCEEDINGS OF 2019 IEEE 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2019), 2019, : 135 - 139
  • [25] Manifold optimization for nonnegative coefficient logistic regression
    Hong, Xia
    Gao, Junbin
    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 1762 - 1766
  • [26] Optimization of Fairness and Accuracy on Logistic Regression Models
    Yuste, Javier
    Pardo, Eduardo G.
    Duarte, Abraham
    METAHEURISTICS, MIC 2024, PT I, 2024, 14753 : 383 - 389
  • [27] Comparison of logistic regression and neural network-based classifiers for bacterial growth
    Hajmeer, M
    Basheer, I
    FOOD MICROBIOLOGY, 2003, 20 (01) : 43 - 55
  • [28] On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes
    Ng, AY
    Jordan, MI
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 14, VOLS 1 AND 2, 2002, 14 : 841 - 848
  • [29] Meta-learning for evolutionary parameter optimization of classifiers
    Reif, Matthias
    Shafait, Faisal
    Dengel, Andreas
    MACHINE LEARNING, 2012, 87 (03) : 357 - 380
  • [30] Meta-learning for evolutionary parameter optimization of classifiers
    Matthias Reif
    Faisal Shafait
    Andreas Dengel
    Machine Learning, 2012, 87 : 357 - 380