A general maximal margin hyper-sphere SVM for multi-class classification
T Ke, X Ge, F Yin, L Zhang, Y Zheng, C Zhang… - Expert Systems with …, 2024 - Elsevier
Traditional SVM algorithms for multi-class (k> 2 classes) classification tasks include “one-
against-one”,“one-against-rest”, and “one-against-one-against-rest”, which build k (k− 1)/2 or …
against-one”,“one-against-rest”, and “one-against-one-against-rest”, which build k (k− 1)/2 or …
[HTML][HTML] Difference of Convex programming in adversarial SVM
We present two models in adversarial machine learning, focussing on the Support Vector
Machine framework. In particular, we consider both an evasion and a poisoning problem …
Machine framework. In particular, we consider both an evasion and a poisoning problem …
DC Optimization in Adversarial Sparse Support Vector Machine
A Astorino, M Di Francesco, M Gaudioso… - … : Theory and Algorithms, 2023 - Springer
In supervised classification models, such as Support Vector Machine, the main purpose is to
predict the class membership of the incoming samples. In some real applications malicious …
predict the class membership of the incoming samples. In some real applications malicious …
[HTML][HTML] Interpretable and Explainable Machine Learning Models
C Pomo - Gen, 2024 - dottorati.unica.it
The course focuses on methods for interpreting and explaining machine learning (ML)
models, including inherently interpretable approaches and post-hoc explanation techniques …
models, including inherently interpretable approaches and post-hoc explanation techniques …