BayesFusion Support Forum

Dear Daniel, One error that I see in your calculation is that you assumed/calculated P(HD=yes)=0.39. Actually, P(HD=yes)=0.61 and P(HD=no)=0.39, so you may have made an error here. Does this solve your problem? I love to hear that you are going to use GeNIe in your research. GeNIe is incredibly popu...

Hi Charlie, The leak is present in CPTs as well. It is the probability of the effect happening when none of the parents are present. If you click the CPT button in a Noisy node, you will certainly see the leak! Interesting that you are having problems with the leak. I find it one of the most straigh...

Hi Charlie, I'm sorry to have missed this (that you have already looked at the Diez & Druzdzel paper). My experience in applying canonical models is that they each require careful thinking. There is no easy/algorithmic solution to which model to pick. Am I understanding correctly that you have s...

My suggestion is that you look carefully at the paper that I have co-authored with my colleague Javier Diez, available at the following location: http://www.cisiad.uned.es/techreports/canonical.php We have tried to review all existing canonical models. Perhaps you will find in there what you are loo...

Dear Daniel, Having missing values in the class variable is generally odd -- you cannot test the record for accuracy, as you don't know what class the record belongs to. Quality software, like GeNIe should, however, behave correctly even in this case. We have fixed this and you can download the newe...

Hi Daniel, I have looked at your model and your data and there is indeed something strange going on that has to do with records with missing class variable. Once you delete these from Validation, you will get both ROC and calibration curves. It seems GeNIe should be able to handle this. I will let y...

I have just posted a reply to your questions in the original thread -- Marek

1. When perform parameter learning, we get log(p) value. Do I need to consider this value to evaluate my model’s performance? I see that closer to zero is better. My log (p) value is -1084380.522721 which is very high. The absolute value of log(p) depends on the size of your network, data file and ...

1. Have you tried looking at the output file? You can see the posterior probability distributions over the class variable for each of your data records Sorry, I did not get this. What do you mean by looking at the output file? When you run validation, you can create an output file. It will replicat...

Hi Daniel, But what is the function of "fixed nodes" in validation? You fix them if you do not want their CPTs to change during the cross-validation. They will normally change, because cross-validation includes a learning and a testing phase. 1. in the outcome node, I have only 2 states: &...

You mean if there is any theoretical argument for optimality of uniform width or uniform counts? I am not aware of any general argument, although I would expect balancing the number of points in each of the intervals to perform better than having some intervals with few data points (unless there are...

Martin,

The planned release date is late June/early July. I will be happy to send you a link to our beta version. Will follow this up with a personal note.
Cheers,

Marek

Martin, A great direction for work, not necessarily specific to Bayesian networks but rather to all system modeling tools. We are modeling precisely to be able to understand the system. Bayesian networks are closely related to systems of simultaneous equations. We are about to release a version of G...

I'm afraid SMILE is not open source but you can read about the EPIS-BN algorithm in the following paper: Yuan, Changhe & Marek J. Druzdzel. An Importance Sampling Algorithm Based on Evidence Pre-propagation. In Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (U...

I'm afraid no Bayesian network software will allow you to do that -- you have a theoretical problem. You need P(C|AB) and have only P(C|A) and P(C|B). Without special assumptions about the interaction, you are facing an under-constrained problem. Please look at the canonical models (Section "Co...