Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process
M. Sicard(AgroParisTech), Nathalie Perrot(AgroParisTech), Pierre-Henri Wuillemin(Centre National de la Recherche Scientifique), C. Baudrit(AgroParisTech), M.N. Leclerc-Perlat(AgroParisTech)
Cited by 25
Related Papers
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
|Unknown|2006|90
Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian network approach
|American Journal of Clinical Nutrition|2013|86
Towards a global modelling of the Camembert-type cheese ripening process by coupling heterogeneous knowledge with dynamic Bayesian networks
|Journal of Food Engineering|2009|44
Top-Down Construction and Repetetive Structures Representation in Bayesian Networks
|The Florida AI Research Society|2000|42
aGrUM: A Graphical Universal Model Framework
|Lecture notes in computer science|2017|27