Research on trolls is scarce, but their activities challenge online communities; one of the main challenges of the Wikipedia community is to fight against v...
We present a general framework for the analysis of quantitative and qualitative properties of reactive systems, based on a notion of weighted transition systems. We introduce and ...
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...