Abstract: Broad learning system (BLS), as an innovative type of neural network, has demonstrated exceptional performance in regression tasks. Nonetheless, the majority of BLS methods, which rely on ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...