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A New Pairing Support Vector Regression
2015In 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 ...
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Relative margin induced support vector ordinal regression
Expert Systems With Applications, 2023Fa Zhu, Xingchi Chen, Shuo Chen
exaly
TSVR: An efficient Twin Support Vector Machine for regression
Neural Networks, 2010Xinjun Peng
exaly
Hybrid robust support vector machines for regression with outliers
Applied Soft Computing Journal, 2011Chen-Chia Chuang
exaly
Incremental learning for ν-Support Vector Regression
Neural Networks, 2015Bin Gu, VÍCTOR S Sheng, Shuo Li
exaly
TWSVR: Regression via Twin Support Vector Machine
Neural Networks, 2016Reshma Khemchandani, Suresh Chandra
exaly
A multiwavelet support vector regression method for efficient reliability assessment
Reliability Engineering and System Safety, 2015Hongzhe Dai
exaly
Fuzzy Regression Analysis by Support Vector Learning Approach
IEEE Transactions on Fuzzy Systems, 2008Pei-Yi Hao, Jung-Hsien Chiang
exaly
Support Vector Machine Regression for project control forecasting
Automation in Construction, 2014Mario Vanhoucke
exaly

