We address the problem of merging qualitative constraints networks (QCNs). We point out a merging algorithm which computes a consistent QCN representing a global view of the input...
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
During the last 15 years, many mathematical models have been developed in order to solve process operation scheduling problems, using discrete or continuous time representations. ...
Sylvain Mouret, Ignacio E. Grossmann, Pierre Pesti...
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
For large problems the ATMS often becomes the main resource consumer in any reasoning system. We propose an architecture (the 2vATMS) that combines the advantages of two techniques...