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1.Fast quantum algorithms for least squares regression and statistic leverage scores

作者：Yang Liu ^{yliu@cse.cuhk.edu.hk} ; Shengyu Zhang ; ^{syzhang@cse.cuhk.edu.hk}

关键词：Least square regression ; Statistical leverage score ; Quantum algorithms

刊名：Theoretical Computer Science

出版年：2017

2.Heart sound classification based on scaled spectrogram and partial least squares regression

作者：Wenjie Zhang^a ; Jiqing Han^a ; ^{jqhan@hit.edu.cn} ; Shiwen Deng^b ; ^{dengswen@gmail.com}

关键词：Scaled spectrogram ; Heart sound ; Partial least squares regression

刊名：Biomedical Signal Processing and Control

出版年：2017

3.Multiview partial least squares

作者：Yi Mou^a ; ^{mouyi@whpu.edu.cn} ; Long Zhou^a ; Xinge You^b ; Yaling Lu^a ; Weizhen Chen^a ; Xu Zhao^a

关键词：Multiview data ; Partial least squares ; Regression

刊名：Chemometrics and Intelligent Laboratory Systems

出版年：2017

4.Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

作者：Ravinesh C Deo^a ; ^{ravinesh.deo@usq.edu.au} ; Ozgur Kisi^b ; Vijay P Singh^c ; ^d

关键词：Standardized precipitation index ; Drought forecasting ; Multivariate adaptive regression spline ; Least square support vector machine ; M5Tree model

刊名：Atmospheric Research

出版年：2017

5.Salting-out assisted liquid-liquid extraction and partial least squares regression to assay low molecular weight polycyclic aromatic hydrocarbons leached from soils and sediments

作者：Lucas P. Bressan ; Paulo Cí ; cero do Nascimento ; ^{pcn1954@gmail.com} ; Marcella E.P. Schmidt ; Henrique Faccin ; Leandro Carvalho de Machado ; Denise Bohrer

关键词：Salting-out assisted liquid-liquid extraction ; Synchronous fluorescence ; Polycyclic aromatic hydrocarbons ; Multivariate calibration ; Partial least squares ; Aqueous leachates

刊名：Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

出版年：2017

6.An SVM-like approach for expectile regression

作者：Muhammad Farooq ; ^{muhammad.farooq@mathematik.uni-stuttgart.de} ; Ingo Steinwart ^{ingo.steinwart@mathematik.uni-stuttgart.de}

关键词：Asymmetric least square loss ; Expectile regression ; Support vector machines

刊名：Computational Statistics & Data Analysis

出版年：2017

7.Robust regularized extreme learning machine for regression using iteratively reweighted least squares

作者：Kai Chen^a ; ^{kaenchan@163.com}Author Vitae ; Qi Lv^aAuthor Vitae ; Yao Lu^bAuthor Vitae ; Yong Dou^aAuthor Vitae

关键词：00-01 ; 99-00

刊名：Neurocomputing

出版年：2017

8.Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy

作者：Shuifang Li^a ; Xin Zhang^b ; Yang Shan^c ; ^{Sy6302@126.com" class="auth_mail" title="E-mail the corresponding author} ; Donglin Su^c ; Qiang Ma^a ; Ruizhi Wen^a ; Jiaojuan Li^a

关键词：Honey adulteration ; Near-infrared spectroscopy ; Competitive adaptive reweighted sampling (CARS) ; Partial least squares linear discriminant analysis (PLS-LDA) ; Partial least squares regression (PLSR)

刊名：Food Chemistry

出版年：2017

9.Lubricant-Sensitivity Assessment of SPRESS^® B820 by Near-Infrared Spectroscopy: A Comparison of Multivariate Methods

作者：Vivek S. Dave¹ ; Michael Popielarczyk¹ ; Heather Boyce² ; Antoine Al-Achi³ ; Enyioha Ike-Amaechi² ; Stephen W. Hoag² ; Rahul V. Haware³ ; ^{haware@campbell.edu}

关键词：near-infrared spectroscopy ; tableting ; breaking force ; multivariate analysis ; partial least square regression ; principle component regression

刊名：Journal of Pharmaceutical Sciences

出版年：2017

10.Resurrecting weighted least squares

作者：Joseph P. Romano^a ; ^{romano@stanford.edu} ; Michael Wolf^b ; ^{michael.wolf@econ.uzh.ch}

关键词：C12 ; C13 ; C21

刊名：Journal of Econometrics

出版年：2017

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