We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Abstract Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models has been the goal of several researchers b...
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Computer-based business analysis relies on models, or algorithmic representations of the business process. Real-life business problems can become very complex, which creates diffi...
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...