European Nephrology, Science Centre, G. Lindemann, D. Schmidt, T. Schrader, M. Beil, ...
Abstract—The amount and heterogeneity of data in biomedical research, notably in interdisciplinary research, requires new methods for the collection, presentation and analysis of information....
Belief Maintenance in Bayesian Networks (1994)
Mcgill Cognitive, Science Centre, Marco Ramoni, Marco Ramoni, Alberto Riva, Alberto Riva
Bayesian Belief Networks (bbns) are a powerful formalism for reasoning under uncertainty but bear some severe limitations: they require a large amount of information before any reasoning process can...
Forecasting Glucose Concentration in Diabetic Patients using Ignorant Belief Networks (1994)
Alberto Riva, Mario Stefanelli, Mcgill Cognitive, Science Centre, Marco Ramoni, ...
Bayesian Belief Networks (bbns) provide a suitable formalism for many medical applications. Unfortunately, learning a bbn from a database is a very complex task, since the specification of a bbn...