The latent feature relational model (LFRM) is a generative model for graph-structured data to learn a binary vector representation for each node in the graph. The binary vector denotes the node's membership in one or more communities. At its core, …
Recently a novel approach of model order selection based on penalizing adaptively the likelihood (PAL) function was introduced in [1]. In this paper, we use the PAL method for order estimation of complex valued nonlinear exponential (cisoid) model …