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Support vector machine in structural reliability analysis: A review
Reliability Engineering and System Safety, 2023Atin Roy, Subrata Chakraborty
exaly
Sparseness of support vector machines
J. Mach. Learn. Res., 2003Summary: Support Vector Machines (SVMs) construct decision functions that are linear combinations of kernel evaluations on the training set. The samples with non-vanishing coefficients are called support vectors. In this work we establish lower (asymptotical) bounds on the number of support vectors.
openaire +2 more sources
A novel multi-innovation gradient support vector machine regression method
ISA Transactions, 2022Hao Ma, Feng Ding
exaly
An Improved Nonparallel Support Vector Machine
IEEE Transactions on Neural Networks and Learning Systems, 2021Liming Liu +2 more
exaly
EEG signal classification using universum support vector machine
Expert Systems With Applications, 2018Bharat Richhariya, M Tanveer
exaly
TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition
Pattern Recognition, 2011Xinjun Peng
exaly

