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在“Elsevier电子期刊”中，命中：118,138条，耗时：0.1089484 秒

在所有数据库中总计命中：155,428条

1.Pairing support vector algorithm for data regression

作者：Pei-Yi Hao ; ^{haupy@cc.kuas.edu.tw}Author Vitae

关键词：Support vector regression ; Twin support vector regression ; Noise heteroscedastic model ; Parametric insensitive model ; Nonparallel functions ; Sparse regression

刊名：Neurocomputing

出版年：2017

2.Empirical models for tool forces prediction of drag-typed picks based on principal component regression and ridge regression methods

作者：Xiang Wang^a ; ^b ; Yunpei Liang^a ; ^{liangyunpei@cqu.edu.cn} ; Qingfeng Wang^b ; Zhenyu Zhang^a

关键词：Drag-typed picks ; Tool forces ; Empirical models ; Regression analysis

刊名：Tunnelling and Underground Space Technology

出版年：2017

3.A robust and efficient stepwise regression method for building sparse polynomial chaos expansions

作者：Simon Abraham^a ; ^{Simon.Abraham@ulb.ac.be} ; Mehrdad Raisee^b ; Ghader Ghorbaniasl^a ; Francesco Contino^a ; Chris Lacor^a

关键词：Uncertainty quantification ; Regression-based polynomial chaos ; Sparse polynomial chaos expansion ; Least angle regression ; Stepwise regression

刊名：Journal of Computational Physics

出版年：2017

4.Composite quantile regression for correlated data

作者：Weihua Zhao^a ; Heng Lian^b ; ^{henglian@cityu.edu.hk} ; Xinyuan Song^c

关键词：Composite quantile regression ; Longitudinal data ; Quadratic inference function ; Weighted composite quantile regression

刊名：Computational Statistics & Data Analysis

出版年：2017

5.A multi-row deletion diagnostic for influential observations in small-sample regressions

作者：Daniel T. Kaffine^a ; ^{daniel.kaffine@colorado.edu} ; Graham A. Davis^b ; ^{gdavis@mines.edu}

关键词：Regression diagnostics ; Multi-row deletion ; Inference ; Influence points ; Outliers ; Growth regressions ; Institutions ; Resource curse

刊名：Computational Statistics & Data Analysis

出版年：2017

6.Influences of environmental factors on Si-based photovoltaic modules after longtime outdoor exposure by multiple regression analysis

作者：Jakapan Chantana ; ^{jakapan@fc.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Aika Kamei ^{ro0002kf@ed.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Takashi Minemoto ^{minemoto@se.ritsumei.ac.jp" class="auth_mail" title="E-mail the corresponding author}

关键词：Multiple regression analysis ; Standard partial regression coefficients ; Outdoor performance ; Environmental factors ; Si-based photovoltaic modules

刊名：Renewable Energy

出版年：2017

7.Automated segmentation and area estimation of neural foramina with boundary regression model

作者：Xiaoxu He^a ; ^b ; ^{xhe244@uwo.ca}Author Vitae ; Andrea Lum^a ; ^bAuthor Vitae ; Manas Sharma^a ; ^bAuthor Vitae ; Gary Brahm^a ; ^bAuthor Vitae ; Ashley Mercado^a ; ^bAuthor Vitae ; Shuo Li^a ; ^b ; ^{slishuo@gmail.com}Author Vitae

关键词：Automated segmentation ; Area estimation ; Neural foramina stenosis ; Boundary regression model ; Multiple output support vector regression ; Multiple kernel learning

刊名：Pattern Recognition

出版年：2017

8.A prediction model for spontaneous regression of cervical intraepithelial neoplasia grade 2, based on simple clinical parameters

作者：Margot M. Koeneman ; MD^a ; ^b ; ^{margot.koeneman@mumc.nl} ; Freyja H.M. van Lint ; MD^a ; ^b ; Sander M.J. van Kuijk ; PhD^c ; Luc J.M. Smits ; PhD^d ; Loes F.S. Kooreman ; MD ; PhD^e ; Roy F.P.M. Kruitwagen ; MD ; PhD^a ; ^b ; Arnold J. Kruse ; MD ; PhD^a ; ^b

关键词：Prediction ; CIN 2 ; Low-grade squamous intraepithelial lesion ; Regression ; Personalized management

刊名：Human Pathology

出版年：2017

9.Interactions between cadmium and decabrominated diphenyl ether on blood cells count in rats—Multiple factorial regression analysis

作者：Marijana Curcic^a ; ^{makitox@pharmacy.bg.ac.rs} ; Aleksandra Buha^a ; Sanja Stankovic^b ; Vesna Milovanovic^c ; Zorica Bulat^a ; Danijela Đukić-Ćosić^a ; Evica Antonijević^a ; Slavica Vučinić^d ; Vesna Matović^a ; Biljana Antonijevic^a

关键词：Cadmium ; Decabrominated diphenyl ether ; Interactions ; Multiple factorial regression

刊名：Toxicology

出版年：2017

10.Transient stability assessment via decision trees and multivariate adaptive regression splines

作者：Matin Rahmatian^a ; Yu Christine Chen^a ; ^{chen@ece.ubc.ca" class="auth_mail" title="E-mail the corresponding author} ; Atefeh Palizban^a ; Ali Moshref^b ; William G. Dunford^a

关键词：Classification and regression trees ; Decision trees ; Multivariate adaptive regression splines ; Phasor measurement units ; Real-time transient stability assessment ; Synchrophasors

刊名：Electric Power Systems Research

出版年：2017

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