Pacheco, J., Casado, S., Nunez, L.: A variable selection method based on Tabu search for logistic regression models. European Journal of Operational Research 199, 506-511 (2009)Pacheco, J., Casado, S., Núñez, L.: A variable selection method based on Tabu search for logistic ...
Matsui H. Variable and boundary selection for functional data via multiclass logistic regression modeling. Comput Stat Data Anal. 2014;78: 176-85.Matsui, H. (2014), "Variable and boundary selection for functional data via multiclass logistic regression modeling," Comput. Statist. Data Anal., ...
1#-*- coding: utf-8 -*-2"""3第7章:变量选择4数据获取5"""6importos7importpandas as pd8importnumpy as np9fromsklearn.model_selectionimporttrain_test_split10importvariable_bin_methods as varbin_meth11importvariable_encode as var_encode12importmatplotlib13importmatplotlib.pyplot as plt14#matplotl...
Comparing Variable Selection Methods for Microarray Classification Models Based on Logistic Regression. 根据逻辑回归方法来对微阵列归类模型做各种不同选择方法的比较。 www.jukuu.com 6. Application of Subspace Comparison Method in Studying the Relationship Between Topological Block Variables and Variable Selection...
In this thesis, we consider two such cases: spatial logistic regression and spatial variable selection.Boehm, Laura FrancesDissertations & Theses - Gradworks
Logistic regressionMultinomial logitPenalizationSide constraintsVariable selection62JXX62J07The multinomial logit model is the most widely used model for the unordered multi-category responses. However, applications are typically restricted to the use of few predictors because in the high-dimensional case ...
Variable Selection in Logistic Regression Model Variable selection is one of the most important problems in pattern recognition. In linear regression model, there are many methods can solve this problem,... Z Zhang,V Trevino,SS Hoseini,... - 《Chinese Journal of Electronics》 被引量: 21发表:...
the elastic net was introduced, combining the strengths of the lasso and ridge regression [10]. Its penalty term is a weighted combination ofL1andL2penalties, encouraging sparsity while allowing for grouped selection, so that correlated variables are either included or excluded together. The balance...
其功能模块有regression\classification\clustering\Dimensionality reduction\data preprocessing\model selection 对我来说,常用的主要有regression(SVR)和c... Rser_ljw 0 5041 c++11 Condition Variable notify_one notify_all wait 2019-09-29 17:01 − 最近看了下c++11的线程。看了不少博客,这里会引用到...
Logistic regression classification (LRC) is widely used to develop models to predict the risk of femoral fracture. LRC models based on areal bone mineral density (aBMD) alone are poor, with area under the receiver operator curve (AUROC) scores reported to be as low as 0.63. This has led to...