Tag: indefinite

$L_1$-norm Regularized Indefinite Kernel Logistic Regression arXiv:2510.26043v1 Announce Type: new Abstract: Kernel logistic regression (KLR) is a powerful classification method widely applied across diverse domains. In many real-world scenarios, indefinite kernels capture more domain-specific structural information than positive definite kernels. This paper proposes a novel $L_1$-norm regularized indefinite kernel logistic regression (RIKLR) model, which extends…