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Support vector machine in structural reliability analysis: A review

Reliability Engineering and System Safety, 2023
Atin Roy, Subrata Chakraborty
exaly  

Sparseness of support vector machines

J. Mach. Learn. Res., 2003
Summary: 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

Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)

International Journal of River Basin Management, 2021
Alireza Bahadori, Zainal Ahmad
exaly  

Support Vector Machines

2008
Ingo Steinwart, Andreas Christmann
openaire   +1 more source

An Improved Nonparallel Support Vector Machine

IEEE Transactions on Neural Networks and Learning Systems, 2021
Liming Liu   +2 more
exaly  

EEG signal classification using universum support vector machine

Expert Systems With Applications, 2018
Bharat Richhariya, M Tanveer
exaly  

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