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Sparse Optimization in Adversarial Support Vector Machine (SVM)

2021
Supervised classification models, such as SVM, aim at predicting the class membership of the incoming samples. Malicious inputs are designed to cheat a vulnerable classifier, leading to a wrong prediction. We focus our analysis on the search of the smallest perturbations of samples producing a failure of the classification process.
Enrico Gorgone   +4 more
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  

BETA DIVERGENCE AND KERNELS METHODS WITH SUPPORT VECTOR MACHINE (SVM)

Far East Journal of Theoretical Statistics, 2023
Ndaw, Mactar   +2 more
openaire   +2 more sources

Parallel Support Vector Machines: The Balanced Cascade SVM

SSRN Electronic Journal, 2022
Yicheng Liu, Xiaoyan Liu
openaire   +1 more source

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