Abstract. Ontology construction is a labour-intensive and costly process. Even though many formal and semi-formal vocabularies are available, creating an ontology for a specific ap...
Nicole J. J. P. Koenderink, Mark van Assem, J. Lar...
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Troubleshooting problems in real manufacturing environments impose constraints on admissible solutions that make the computational solutions offered by "troubleshooting from ...
D. Volovik, Imran A. Zualkernan, Paul E. Johnson, ...
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...