Dear, I come here to collect some information on these subjects.
I found that in 2008 a student of Mark Proktor (Gizil Oguz ) worked on a machine learning using drools. And currently Mark work on a Bayesian approach. These subjects are really exciting. Bayesian Belief Network needs to be able to put a probability value on each event and for this using machine learning is a way to do. So I would like to know how if they are somewhere a little example which put all of these good projects in one? After Gizil Oguz finished his work, we never heard about drools and machine learning. I would like to know if that is normal ? Or maybe using weka and drools is better ? Thanks you everybody, any information on these subject could to be interesting :-) Have fun Jonathan _______________________________________________ rules-users mailing list rules-users@lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users
