Search results for "regression"

Hits ?▲	Authors	Title	Venue	Year	Link
11	Mohamed Aymen Meziani	Estimation paramétrique et non-paramétrique en utilisant une approche de régression quantile. (Parametric and non parametric estimating using quantile regression approach).		2019	RDF
11	Perrine Soret	Régression pénalisée de type Lasso pour l'analyse de données biologiques de grande dimension : application à la charge virale du VIH censurée par une limite de quantification et aux données compositionnelles du microbiote. (Penalized Lasso regression for the analysis of high-dimensional biological data: application to HIV viral load censored by a limit of quantification and to microbiota compositional data).		2019	RDF
11	Gábor Nagy 0003	Sector Based Linear Regression, a New Robust Method for the Multiple Linear Regression.	Acta Cybern.	2018	DBLP DOI BibTeX RDF
11	Haiping Xia, Yunhao Chen, Yutong Zhao, Zixuan Chen	"Regression-then-Fusion" or "Fusion-then-Regression"? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures.	Remote. Sens.	2018	DBLP DOI BibTeX RDF
11	Reda Boukezzoula, Sylvie Galichet, Didier Coquin	From fuzzy regression to gradual regression: Interval-based analysis and extensions.	Inf. Sci.	2018	DBLP DOI BibTeX RDF
11	Fang Xin, Songyuan Ni, Hongliang Li, Xuesheng Zhou	General Regression Neural Network and Artificial-Bee-Colony Based General Regression Neural Network Approaches to the Number of End-of-Life Vehicles in China.	IEEE Access	2018	DBLP DOI BibTeX RDF
11	Jianbo Yu	State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble.	Reliab. Eng. Syst. Saf.	2018	DBLP DOI BibTeX RDF
11	Irene Luque Ruiz, Miguel Ángel Gómez-Nieto	Regression Modelability Index: A New Index for Prediction of the Modelability of Data Sets in the Development of QSAR Regression Models.	J. Chem. Inf. Model.	2018	DBLP DOI BibTeX RDF
11	Thiago G. Ramires, Edwin M. M. Ortega, Gauss M. Cordeiro, Gilberto A. Paula, Niel Hens	New regression model with four regression structures and computational aspects.	Commun. Stat. Simul. Comput.	2018	DBLP DOI BibTeX RDF
11	M. Revan Özkale, Stanley Lemeshow, Rodney X. Sturdivant	Logistic regression diagnostics in ridge regression.	Comput. Stat.	2018	DBLP DOI BibTeX RDF
11	Piotr Duda, Maciej Jaworski, Leszek Rutkowski	Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.	Int. J. Neural Syst.	2018	DBLP DOI BibTeX RDF
11	Ozde Tiryaki, Cemal Okan Sakar	Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems.	DATA	2018	DBLP DOI BibTeX RDF
11	Yan Pei	Kernel PLS Regression II: Kernel Partial Least Squares Regression by Projecting Both Independent and Dependent Variables into Reproducing Kernel Hilbert Space.	SMC	2018	DBLP DOI BibTeX RDF
11	Arka Ujjal Dey, A. H. Abdul Hafez, Gaurav Harit	Greedy Gaussian Process Regression Applied to Object Categorization and Regression.	ICVGIP	2018	DBLP DOI BibTeX RDF
11	Michal Cerný, Tomás Cipra, Radek Hendrych, Ondrej Sokol, Miroslav Rada	A Note on Partial Identification of Regression Parameters in Regression with Interval-Valued Dependent Variable.	WEA (1)	2018	DBLP DOI BibTeX RDF
11	Sergey Subbotin 0001, Elena Kirsanova	The Regression Tree Model Building Based on a Cluster-Regression Approximation for Data-Driven Medicine.	IDDM	2018	DBLP BibTeX RDF
11	Cahit Polat	Performance evaluation of logistic regression, linear discriminant analysis, and classification and regression trees under controlled conditions ()		2018	RDF
11	Stéphane Lathuilière	Deep Regression Models and Computer Vision Applications for Multi-Person Human-Robot Interaction. (Modèles profonds de regression et applications à la vision par ordinateur pour l'interaction homme-robot).		2018	RDF
11	Markus Quade	Symbolic regression for identification, prediction, and control of dynamical systems (Symbolische Regression zur Identifikation, Vorhersage und Regelung dynamischer Systeme) (PDF / PS)		2018	RDF
11	Phan Thanh Noi, Jan Degener, Martin Kappas	Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data.	Remote. Sens.	2017	DBLP DOI BibTeX RDF
11	Shangshan Wang, Liming Xiang	Two-layer EM algorithm for ALD mixture regression models: A new solution to composite quantile regression.	Comput. Stat. Data Anal.	2017	DBLP DOI BibTeX RDF
11	Chungao Liu, Chongshi Gu, Bo Chen	Zoned elasticity modulus inversion analysis method of a high arch dam based on unconstrained Lagrange support vector regression (support vector regression arch dam).	Eng. Comput.	2017	DBLP DOI BibTeX RDF
11	Jan Zegklitz, Petr Posík	Symbolic Regression Algorithms with Built-in Linear Regression.	CoRR	2017	DBLP BibTeX RDF
11	Chen Chen 0113, Changtong Luo, Zonglin Jiang	Elite Bases Regression: A Real-time Algorithm for Symbolic Regression.	CoRR	2017	DBLP BibTeX RDF
11	Chao Fan, Sergio J. Rey, Soe W. Myint	Spatially filtered ridge regression (SFRR): A regression framework to understanding impacts of land cover patterns on urban climate.	Trans. GIS	2017	DBLP DOI BibTeX RDF
11	Chen Chen 0113, Changtong Luo, Zonglin Jiang	Elite bases regression: A real-time algorithm for symbolic regression.	ICNC-FSKD	2017	DBLP DOI BibTeX RDF
11	Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi 0002	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold.	CVPR	2017	DBLP DOI BibTeX RDF
11	Enrique Sánchez-Lozano	Continuous regression: a functional regression approach to facial landmark tracking.		2017	RDF
11	Nicolas Flammarion	Stochastic Approximation and Least-Squares Regression, with Applications to Machine Learning. (Approximation Stochastique et Régression par Moindres Carrés : Applications en Apprentissage Automatique).		2017	RDF
11	Romain Brault	Large-scale operator-valued kernel regression. (Régression à noyaux à valeurs opérateurs pour grands ensembles de données).		2017	RDF
11	Kuo-Ping Lin, Hao-Feng Chang, Tung-Liang Chen, Yu-Ming Lu, Ching-Hsin Wang	Intuitionistic fuzzy C-regression by using least squares support vector regression.	Expert Syst. Appl.	2016	DBLP DOI BibTeX RDF
11	Yi Yang, Jiping Liu, Shenghua Xu, Yangyang Zhao	An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing.	ISPRS Int. J. Geo Inf.	2016	DBLP DOI BibTeX RDF
11	Akihito Takahashi, Takeshi Kurosawa	Regression correlation coefficient for a Poisson regression model.	Comput. Stat. Data Anal.	2016	DBLP DOI BibTeX RDF
11	Mahdi Roozbeh, Mohammad Arashi	New Ridge Regression Estimator in Semiparametric Regression Models.	Commun. Stat. Simul. Comput.	2016	DBLP DOI BibTeX RDF
11	Xinjun Peng, Dong Xu 0003	Projection support vector regression algorithms for data regression.	Knowl. Based Syst.	2016	DBLP DOI BibTeX RDF
11	Jiqing Wu, Radu Timofte, Luc Van Gool	Demosaicing Based on Directional Difference Regression and Efficient Regression Priors.	IEEE Trans. Image Process.	2016	DBLP DOI BibTeX RDF
11	Veronica Chan, Christine W. Chan	Development and application of an algorithm for extracting multiple linear regression equations from artificial neural networks for nonlinear regression problems.	ICCI*CC	2016	DBLP DOI BibTeX RDF
11	Sanjiban Sekhar Roy, Chitransh Pratyush, Cornel Barna	Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree.	SOFA (2)	2016	DBLP DOI BibTeX RDF
11	Dogyoon Song, Christina E. Lee, Yihua Li, Devavrat Shah	Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering.	NIPS	2016	DBLP BibTeX RDF
11	David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues	Sparse Least squares support vector regression via Multiresponse Sparse Regression.	IJCNN	2016	DBLP DOI BibTeX RDF
11	Elsa Bernard	Deciphering splicing with sparse regression techniques in the era of high-throughput RNA sequencing. (Etude de l'épissage grâce à des techniques de régression parcimonieuse dans l'ère du séquençage haut débit de l'ARN).		2016	RDF
11	Prasad Samarakoon	Random Regression Forests for Fully Automatic Multi-Organ Localization in CT Images. (Segmentation automatique et multi-organes d'images scanner: Utilisation de forêts d'arbres décisionnels (Random Regression Forests)).		2016	RDF
11	Fang Liu 0006, Yunchuan Kong	zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression.	R J.	2015	DBLP DOI BibTeX RDF
11	Elisabeth Waldmann, Thomas Kneib	Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression.	Stat. Comput.	2015	DBLP DOI BibTeX RDF
11	Maryam Nooraei Abadeh, Seyed-Hassan Mirian-Hosseinabadi	Delta-based regression testing: a formal framework towards model-driven regression testing.	J. Softw. Evol. Process.	2015	DBLP DOI BibTeX RDF
11	J. Martin van Zyl	Applying Least Absolute Deviation Regression to Regression-type Estimation of the Index of a Stable Distribution Using the Characteristic Function.	Commun. Stat. Simul. Comput.	2015	DBLP DOI BibTeX RDF
11	Srujana Adusumilli, Deepak Bhatt, Hong Wang 0007, Vijay Kumar Devabhaktuni, Prabir Bhattacharya	A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages.	Neurocomputing	2015	DBLP DOI BibTeX RDF
11	Manisha Khattar, Yash Lamba, Ashish Sureka	SARATHI: Characterization Study on Regression Bugs and Identification of Regression Bug Inducing Changes: A Case-Study on Google Chromium Project.	ISEC	2015	DBLP DOI BibTeX RDF
11	Abdulrhman Aljouie, Usman Roshan	Prediction of Continuous Phenotypes in Mouse, Fly, and Rice Genome Wide Association Studies with Support Vector Regression SNPs and Ridge Regression Classifier.	ICMLA	2015	DBLP DOI BibTeX RDF
11	Aleksandar Milchevski, Alessandro Rozza, Dimitar Taskovski	Multimodal Affective Analysis combining Regularized Linear Regression and Boosted Regression Trees.	AVEC@ACM Multimedia	2015	DBLP DOI BibTeX RDF
11	Heejong Sung, Alexa J. M. Sorant, Jeremy A. Sabourin, Tae-Hwi Schwantes-An, Cristina M. Justice, Joan E. Bailey-Wilson, Alexander F. Wilson	Tiled regression reduces type I error rates in tests of association of rare single nucleotide variants with non-normally distributed traits, compared with simple linear regression.	BIBM	2015	DBLP DOI BibTeX RDF
11	Erik Pitzer, Gabriel Kronberger	Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-Valued Optimization Problem.	EUROCAST	2015	DBLP DOI BibTeX RDF
11	Yiannis Kokkinos, Konstantinos G. Margaritis	A fast progressive local learning regression ensemble of generalized regression neural networks.	Panhellenic Conference on Informatics	2015	DBLP DOI BibTeX RDF
11	Eren Demir	A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines.	Decis. Sci.	2014	DBLP DOI BibTeX RDF
11	Zubin Abraham, Pang-Ning Tan, Perdinan, Julie A. Winkler, Shiyuan Zhong, Malgorzata Liszewska	Contour regression: A distribution-regularized regression framework for climate modeling.	Stat. Anal. Data Min.	2014	DBLP DOI BibTeX RDF
11	Tatsuya Higuchi, Sadaaki Miyamoto	Fuzzy c-regression models combined with support vector regression.	FUZZ-IEEE	2014	DBLP DOI BibTeX RDF
11	Vadlamani Ravi, Anurag Sharma	Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems.	MIWAI	2014	DBLP DOI BibTeX RDF
11	Vadlamani Ravi, Amit Yadav	Privacy Preserving Data Mining Using General Regression Auto-Associative Neural Network: Application to Regression Problems.	SEMCCO	2014	DBLP DOI BibTeX RDF
11	Mario Koeppen, Kaori Yoshida, Kei Ohnishi	Evolving Fair Linear Regression for the Representation of Human-Drawn Regression Lines.	INCoS	2014	DBLP DOI BibTeX RDF
11	Guoqiang Li 0002, Peifeng Niu	An enhanced extreme learning machine based on ridge regression for regression.	Neural Comput. Appl.	2013	DBLP DOI BibTeX RDF
11	A. K. Md. Ehsanes Saleh, B. M. Golam Kibria	Improved ridge regression estimators for the logistic regression model.	Comput. Stat.	2013	DBLP DOI BibTeX RDF
11	Doreswamy, Chanabasayya M. Vastrad	Study Of E-Smooth Support Vector Regression And Comparison With E- Support Vector Regression And Potential Support Vector Machines For Prediction For The Antitubercular Activity Of Oxazolines And Oxazoles Derivatives.	CoRR	2013	DBLP BibTeX RDF
11	Nicholas I. Sapankevych, Ravi Sankar	Constrained Motion Particle Swarm Optimization and Support Vector Regression for Non-linear Time Series Regression and Prediction Applications.	ICMLA (2)	2013	DBLP DOI BibTeX RDF
11	Sina Shamshiri, Gordon Fraser 0001, Phil McMinn, Alessandro Orso	Search-Based Propagation of Regression Faults in Automated Regression Testing.	ICST Workshops	2013	DBLP DOI BibTeX RDF
11	Tay Sze Hui, Shapiee Abd Rahman, Jane Labadin	Comparison between multiple regression and multivariate adaptive regression splines for predicting CO2 emissions in ASEAN countries.	CITA	2013	DBLP DOI BibTeX RDF
11	Jarley Palmeira Nóbrega, Adriano Lorena Inácio de Oliveira	Improving the Statistical Arbitrage Strategy in Intraday Trading by Combining Extreme Learning Machine and Support Vector Regression with Linear Regression Models.	ICTAI	2013	DBLP DOI BibTeX RDF
11	Julie Hamon	Optimisation combinatoire pour la sélection de variables en régression en grande dimension : Application en génétique animale. (Combinatorial optimization for variable selection in high dimensional regression: Application in animal genetic).		2013	RDF
11	Jorge Muruzábal, Diego Vidaurre, Julián Sánchez	SOMwise regression: a new clusterwise regression method.	Neural Comput. Appl.	2012	DBLP DOI BibTeX RDF
11	Hussein A. Abdou, Andzelika Kuzmic, John Pointon, Roger J. Lister	Determinants of Capital Structure in the UK Retail Industry: a Comparison of Multiple Regression and generalized Regression Neural Network.	Intell. Syst. Account. Finance Manag.	2012	DBLP DOI BibTeX RDF
11	Andrew D. Hahn, Daniel B. Rowe	Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series.	NeuroImage	2012	DBLP DOI BibTeX RDF
11	Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman	Biological parametric mapping accounting for random regressors with regression calibration and model II regression.	NeuroImage	2012	DBLP DOI BibTeX RDF
11	Dao-Hong Xiang, Ting Hu 0002, Ding-Xuan Zhou	Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.	J. Appl. Math.	2012	DBLP DOI BibTeX RDF
11	Semra Türkan, Öniz Toktamis	Detection of influential observations in ridge regression and modified ridge regression.	Model. Assist. Stat. Appl.	2012	DBLP DOI BibTeX RDF
11	Hideo Hirose, Yusuke Soejima, Kei Hirose	NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression.	IIAI-AAI	2012	DBLP DOI BibTeX RDF
11	Cornelius Senf, Tobia Lakes	Comparing Support Vector Regression and Statistical Linear Regression for Predicting Poverty Incidence in Vietnam.	AGILE Conf.	2012	DBLP DOI BibTeX RDF
11	Andrea Wiencierz, Marco E. G. V. Cattaneo	An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data.	SMPS	2012	DBLP DOI BibTeX RDF
11	Nicolas Jégou	Régression isotonique itérée. (Iterative isotonic regression).		2012	RDF
11	Carla C. M. Chen, Holger Schwender, Jonathan M. Keith, Robin Nunkesser, Kerrie L. Mengersen, Paula E. Macrossan	Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression.	IEEE ACM Trans. Comput. Biol. Bioinform.	2011	DBLP DOI BibTeX RDF
11	Jiansheng Wu	An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression.	Int. J. Appl. Evol. Comput.	2011	DBLP DOI BibTeX RDF
11	Feng Gao, Xu-Qing Liu	Linearized Ridge Regression Estimator Under the Mean Squared Error Criterion in a Linear Regression Model.	Commun. Stat. Simul. Comput.	2011	DBLP DOI BibTeX RDF
11	Yu-Pin Lin, Hone-Jay Chu, Chen-Fa Wu, Peter H. Verburg	Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling - a case study.	Int. J. Geogr. Inf. Sci.	2011	DBLP DOI BibTeX RDF
11	Ramazan Bayindir, Murat Gök, Ersan Kabalci, Orhan Kaplan	An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods.	ICMLA (2)	2011	DBLP DOI BibTeX RDF
11	Shih-Chun Shao, Wen-Hui Chen, Jun-Horng Chen	A noisy data regression model based on general regression neural networks.	FUZZ-IEEE	2011	DBLP DOI BibTeX RDF
11	Sean Stijven, Wouter Minnebo, Katya Vladislavleva	Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
11	Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier	Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.	EUSFLAT Conf.	2011	DBLP DOI BibTeX RDF
11	Salwa Benammou, Mlayeh Chahrazed	Determinants of the net interest margin in the banking institutions: contribution of PLS regression compared to the principal components regression.	Monde des Util. Anal. Données	2010	DBLP BibTeX RDF
11	Chia-Feng Juang, Ren-Bo Huang, Wei-Yuan Cheng	An Interval Type-2 Fuzzy-Neural Network With Support-Vector Regression for Noisy Regression Problems.	IEEE Trans. Fuzzy Syst.	2010	DBLP DOI BibTeX RDF
11	Christof Seiler, Xavier Pennec, Mauricio Reyes 0001	Parametric regression of 3D medical images through the exploration of non-parametric regression models.	ISBI	2010	DBLP DOI BibTeX RDF
11	Ali Azadeh, Mohammad Sheikhalishahi, A. E. Pirayesh Neghab, Seyed Mohammad Asadzadeh 0001	Modeling and Optimization of a Supply Chain Loop's Performance by an Integrated Neural Network-Fuzzy Regression-Ridge Regression Approach.	EMS	2010	DBLP DOI BibTeX RDF
11	Amory Bisserier	Une approche paramétrique de la régression linéaire floue - Formalisation par intervalles. (A parametrical approach for fuzzy linear regression - Interval based formalization).		2010	RDF
11	Yves G. Berger, Juan Francisco Muñoz, Eric Rancourt	Variance estimation of survey estimates calibrated on estimated control totals - An application to the extended regression estimator and the regression composite estimator.	Comput. Stat. Data Anal.	2009	DBLP DOI BibTeX RDF
11	Dongyu Lin, Dean P. Foster	VIF Regression: A Fast Regression Algorithm for Large Data.	ICDM	2009	DBLP DOI BibTeX RDF
11	Ying-Chun Guo	Knowledge-Enabled Short-Term Load Forecasting Based on Pattern-Base Using Classification & Regression Tree and Support Vector Regression.	ICNC (3)	2009	DBLP DOI BibTeX RDF
11	Yuji Sakatoku, Jay Arre Toque, Ari Ide-Ektessabi	Reconstruction of Hyperspectral Image based on Regression Analysis - Optimum Regression Model and Channel Selection.	IMAGAPP	2009	DBLP BibTeX RDF
11	Deng Cai 0001	Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning		2009	RDF
11	Robin Nunkesser	Algorithms for regression and classification: robust regression and genetic association studies. (PDF / PS)		2009	RDF
11	Imran Kurt, Mevlut Ture, A. Turhan Kurum	Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease.	Expert Syst. Appl.	2008	DBLP DOI BibTeX RDF
11	Quentin F. Stout	Unimodal regression via prefix isotonic regression.	Comput. Stat. Data Anal.	2008	DBLP DOI BibTeX RDF
11	Ronghua Luo, Hansheng Wang	A composite logistic regression approach for ordinal panel data regression.	Int. J. Data Anal. Tech. Strateg.	2008	DBLP DOI BibTeX RDF
11	Myung Ko 0001, Kweku-Muata Osei-Bryson	Reexamining the impact of information technology investment on productivity using regression tree and multivariate adaptive regression splines (MARS).	Inf. Technol. Manag.	2008	DBLP DOI BibTeX RDF