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1.Active learning for penalized logistic regression via sequential experimental design

作者：Jing WangAuthor Vitae ; Eunsik Park ; ^{espark02@jnu.ac.kr}Author Vitae

关键词：Active learning ; Logistic regression ; Experimental design

刊名：Neurocomputing

出版年：2017

2.Case-Control Study of Impairments Associated with Recovery from “Pusher Syndrome” after Stroke: Logistic Regression Analyses

作者：Suzanne R. Babyar ; PT ; PhD^* ; ^{sbabyar@burke.org} ; Margaret G.E. Peterson ; PhD^&dagger ; ; Michael Reding ; MD^&Dagger ;

关键词：Stroke ; lateropulsion ; pusher syndrome ; logistic regression

刊名：Journal of Stroke and Cerebrovascular Diseases

出版年：2017

3.An investigation of the speeding-related crash designation through crash narrative reviews sampled via logistic regression

作者：Cole D. Fitzpatrick^a ; ^{cfitzpat@umass.edu} (Graduate Research Assistant) ; Saritha Rakasi^a ; ^{srakasi@umass.edu} (Graduate Research Assistant) ; Michael A. Knodler Jr.^b ; ^{mknodler@ecs.umass.edu} (Associate Professor)

关键词：Speed ; Speeding-related crashes ; Logistic regression ; Crash narratives ; Crash data

刊名：Accident Analysis & Prevention

出版年：2017

4.Modeling of geogenic radon in Switzerland based on ordered logistic regression

作者：Georg Kropat^a ; ^{georg.kropat@chuv.ch} ; Franç ; ois Bochud^a ; Christophe Murith^b ; Martha Palacios (Gruson)^b ; Sé ; bastien Baechler^b

关键词：Geogenic radon ; European atlas of natural radiation ; Ordered logistic regression ; Terrestrial gamma dose rate ; Fault lines ; Soil permeability

刊名：Journal of Environmental Radioactivity

出版年：2017

5.Computing group cardinality constraint solutions for logistic regression problems

作者：Yong Zhang ; ^a ; ^{michaelzhang917@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Dongjin Kwon^a ; ^b ; Kilian M. Pohl^a ; ^b

关键词：Group Sparsity ; Classification ; Logistic Regression ; Cine MRI

刊名：Medical Image Analysis

出版年：2017

6.A new explanatory index for evaluating the binary logistic regression based on the sensitivity of the estimated model

作者：Hé ; ctor M. Ramos ; ^{hector.ramos@uca.es" class="auth_mail" title="E-mail the corresponding author} ; Jorge Ollero ^{jorge.ollero@uca.es" class="auth_mail" title="E-mail the corresponding author} ; Alfonso Suá ; rez-Llorens ^{alfonso.suarez@uca.es" class="auth_mail" title="E-mail the corresponding author}

关键词：Binary logistic regression ; McFadden index ; ROC curve ; Sensitivity index

刊名：Statistics & Probability Letters

出版年：2017

7.A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

作者：Wei Chen^a ; ^{chenwei.0930@163.com} ; Xiaoshen Xie^a ; Jiale Wang^a ; Biswajeet Pradhan^b ; ^c ; Haoyuan Hong^d ; ^{honghaoyuan333@gmail.com} ; ^{hong_haoyuan@outlook.com} ; Dieu Tien Bui^e ; Zhao Duan^a ; Jianquan Ma^a

关键词：Logistic model tree ; Random forest ; Classification and regression tree ; Landslide ; China

刊名：CATENA

出版年：2017

8.Data classification with binary response through the Boosting algorithm and logistic regression

作者：Fortunato S. de Menezes ; ^a ; ^b ; ^{fmenezes@dfi.ufla.br" class="auth_mail" title="E-mail the corresponding author} ; ^{fsdmenezes@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Gilberto R. Liska^b ; ^{gilbertoliska@unipampa.edu.br" class="auth_mail" title="E-mail the corresponding author} ; Marcelo A. Cirillo^b ; ^{macufla@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author} ; Má ; rio J.F. Vivanco^b ; ^{ferrua@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author}

关键词：Boosting algorithm ; Data classification ; Logistic regression ; Information criteria ; AIC ; BIC ; Selection of models ; Monte Carlo Simulation

刊名：Expert Systems with Applications

出版年：2017

9.Mapping mineral prospectivity using an extreme learning machine regression

作者：Yongliang Chen^a ; ^{chenyongliang2009@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Wei Wu^b

关键词：Extreme learning machine (ELM) regression ; Logistic regression ; Mineral prospectivity mapping ; Receiver operating characteristic (ROC) curve ; Area under the curve or AUC ; Youden index

刊名：Ore Geology Reviews

出版年：2017

10.A dynamic regression analysis tool for quantitative assessment of bacterial growth written in Python

作者：Jennifer L. Hoeflinger ; Daniel E. Hoeflinger ; Michael J. Miller ; ^{mille216@illinois.edu}

关键词：Logistic growth ; Regression analysis ; Python ; Bacterial growth ; Growth kinetics

刊名：Journal of Microbiological Methods

出版年：2017

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