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A New Pairing Support Vector Regression

2015
In this paper, the new pairing support vector regression (pair-SVR) algorithm is proposed to evaluate nonlinear regression models. In spirit of TSVR, the pair-SVR determines indirectly the regression function through a pair of nonparallel insensitive upper bound and lower bound functions solved by two smaller sized support vector machine (SVM)- type ...
openaire   +1 more source

Relative margin induced support vector ordinal regression

Expert Systems With Applications, 2023
Fa Zhu, Xingchi Chen, Shuo Chen
exaly  

Support vector regression

2020
Fan Zhang, Lauren J. O'Donnell
openaire   +1 more source

Hybrid robust support vector machines for regression with outliers

Applied Soft Computing Journal, 2011
Chen-Chia Chuang
exaly  

Incremental learning for ν-Support Vector Regression

Neural Networks, 2015
Bin Gu, VÍCTOR S Sheng, Shuo Li
exaly  

TWSVR: Regression via Twin Support Vector Machine

Neural Networks, 2016
Reshma Khemchandani, Suresh Chandra
exaly  

A multiwavelet support vector regression method for efficient reliability assessment

Reliability Engineering and System Safety, 2015
Hongzhe Dai
exaly  

Fuzzy Regression Analysis by Support Vector Learning Approach

IEEE Transactions on Fuzzy Systems, 2008
Pei-Yi Hao, Jung-Hsien Chiang
exaly  

Support Vector Machine Regression for project control forecasting

Automation in Construction, 2014
Mario Vanhoucke
exaly  

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