I have a very simple domain and Im not getting the results I would expect from inference. Whats wrong?
This could be a number of things. First of all, remember that Alchemy is performing approximate inference, designed to estimate probabilities of mainly large data. On small datasets, where you can compute the marginal probabilities by hand, approximate inference will have some error (it is, after all, approximate inference). Another source of error is the model itself. As Markov logic allows non-i.i.d. models, it is very easy to inadvertently introduce unwanted dependencies in the model, causing unexpected results. Yet another problem could be the data itself. Often a very small dataset contains unwanted dependencies that are not readily apparent. It is best to have sufficient and real data.
