A robust algorithm of support vector regression with a trimmed Huber loss function in the primal

A robust least squares support vector machine for regression and classification with noise

(2014) Xiaowei Yang et al.   NEUROCOMPUTING

Recursive robust least squares support vector regression based on maximum correntropy criterion

(2012) Xiaobo Chen et al.   NEUROCOMPUTING

Training robust support vector regression with smooth non-convex loss function

(2011) Ping Zhong   OPTIMIZATION METHODS & SOFTWARE

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Adaptive support vector regression for UAV flight control

(2010) Jongho Shin et al.   NEURAL NETWORKS

Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers

(2010) Jin-Tsong Jeng et al.   NEUROCOMPUTING

Hybrid robust support vector machines for regression with outliers

(2009) Chen-Chia Chuang et al.   APPLIED SOFT COMPUTING

Adaptive weighted least square support vector machine regression integrated with outlier detection and its application in QSAR

(2009) Wentong Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Robust truncated support vector regression

(2009) Yong-Ping Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust least squares support vector machine based on recursive outlier elimination

(2009) Wen Wen et al.   SOFT COMPUTING

Robust support vector regression in the primal

(2008) Yongping Zhao et al.   NEURAL NETWORKS

Training robust support vector machine with smooth Ramp loss in the primal space

(2008) Lei Wang et al.   NEUROCOMPUTING