Results 181 to 190 of about 142,623 (210)
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Sparse Optimization in Adversarial Support Vector Machine (SVM)
2021Supervised 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
BETA DIVERGENCE AND KERNELS METHODS WITH SUPPORT VECTOR MACHINE (SVM)
Far East Journal of Theoretical Statistics, 2023Ndaw, Mactar +2 more
openaire +2 more sources
Parallel Support Vector Machines: The Balanced Cascade SVM
SSRN Electronic Journal, 2022Yicheng Liu, Xiaoyan Liu
openaire +1 more source
Application of support vector machine (SVM) for prediction toxic activity of different data sets
Toxicology, 2006Botao Fan, M C Liu, Z D Hu
exaly

