BALIOS -The Engine for Bayesian Logic Programs

摘要

The demonstration will include examples of Bayesian networks, hidden Markov models, stochastic grammars, and Bayesian logic programs. We will explain the graphical representation, show how to do inference (exact and approximative), and will demonstrate parameter estimation from a database of cases. At the moment the set of planned future features of BALIOS includes, but is not limited to: effective methods for learning the structure of BLPs, see e.g.; and relational influence diagrams to support decision making.