EM and SEM Learning now available

An EM Learning algorithm (incomplete data) has been implemented as well as a S-EM Algorithm (Structure Learning with incomplete data)

Francois de Brouchoven has just contributed to OpenBayes by implementing the following features :

• EM Learning

• Structure Learning

This allows one to learn the structure of a network (the edges that link the variables) by simply providing a set of stochastic variables (with or without any edges) and a set of complete data.

• S-EM Learning

Also learns the structure of a BN, but does not need a set of complete data. Any data missing is estimated using the EM algorithm above

Thank you François for this wonderful contribution.