Modularization of complex tasks

Beskrivelse

Divide and conquer techniques are widespread in computer science, but have not been explored thoroughly in graphical models. A method for splitting up a Bayesian network into components that can be treated independently with respect to many of the common operations has been constructed . This method forms the foundation for various tasks such as distributed triangulation and hybrid inference. Special emphasis has been directed towards the development of algorithms for incremental compilation.
StatusIgangværende
Effektiv start/slut dato19/05/2010 → …

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Network components
Bayesian networks
Triangulation
Computer science