3 accepted papers
Henze-Penrose divergence is a non-parametric divergence measure that can be used to estimate a bound on the Bayes error in a binary classification problem. In this paper, we show that a cross-match statistic based on optimal weighted matching can be used to directly estimate Henze-Penrose divergence…
We introduce an adaptive version of directed information to estimate an influence graph over nodes with time-varying features. Originally developed as a generalization of the Shannon Mutual Information for quantifying the effect of feedback in a simple communication channel, directed information (DI…
Social networks often encode community structure using multiple distinct types of links between nodes. In this paper we introduce a novel method to extract information from such multi-layer networks, where each type of link forms its own layer. Using the concept of Pareto optimality, community detec…