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A regularized logistic regression based model for supervised learning

机译：基于逻辑回归的监督学习模型

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Carlos Brito-Pacheco; Carlos Brito-Loeza; Anabel Martin-Gonzalez;
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年度 2020
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1. Supervised feature learning via l(2)-norm regularized logistic regression for 3D object recognition [J] . Zou Fuhao, Wang Yunfei, Yang Yang, Neurocomputing . 2015,第mara5pta2期

机译：通过l（2）-范数正则逻辑回归进行有监督的特征学习，以进行3D对象识别
2. A novel logistic regression model combining semi-supervised learning and active learning for disease classification [J] . Hua Chai, Yong Liang, Sai Wang, Scientific reports. . 2018,第1期

机译：半监督学习与疾病分类的新型逻辑回归模型
3. Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L 1/2 regularization [J] . Yong Liang, Hua Chai, Xiao-Ying Liu, BMC Medical Genomics . 2016,第1期

机译：基于L 1/2正则化的基于Cox和AFT模型的半监督学习方法的癌症生存分析
4. Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression [C] . Bin Zhou, Yanjiang Wang, Weifeng Liu, IEEE International Conference on Signal Processing, Communications and Computing . 2018

机译：基于多视角核学习和Hessian正则Logistic回归的抽油杆抽油机井工况识别
5. Regularized nonparametric logistic regression and kernel regularization. [D] . Lu, Fan. 2006

机译：正则化非参数逻辑回归和核正则化。
6. A novel logistic regression model combining semi-supervised learning and active learning for disease classification [O] . Hua Chai, Yong Liang, Sai Wang, -1

机译：半监督学习与主动学习相结合的新型逻辑回归模型用于疾病分类
7. Comprehensible predictive modeling using regularized logistic regression and comorbidity based features [O] . Štiglic, Gregor, Fijačko, Nino, Povalej, Petra, 2017

机译：使用正则化逻辑回归和基于共病的特征进行可理解的预测建模

A regularized logistic regression based model for supervised learning

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