I was wondering whether there are competitions for Bayesian network structure learning algorithms, inside the machine learning community. I've read some papers on the topic, but it's hard to compare the efficiency of the different approaches, since they often use different metrics (AIC, BIC, MDL, loglikelihood, number of arcs that are not in the original model, ...) and some methods might be better with regard to certain parameters, and worse for others.
So, an "objective" (as much as possible) competition, evaluating the methods on a great number of different metrics, would be great to understand whether some approaches are actually better than others, of if they lay on the same "Pareto front".
Hi, up to my knowlegde there is no specific competition about bayesian networks. However you can evaluate the methods on a specific (real) problem. Have a look at http://www.kaggle.com/competitions
What you can do is testing your methods in such competitions. Hope this help.
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