BayesFusion Support Forum

Hi,
My question is if the training set does not contain the data on some condition, such as P(c=c1, a=a1, b=b2) or P(a=a1, b=b2), we can not get the estimated value of P(c=c1 | a=a1, b=b2) in the conditional probability table of variable "c". How to deal with this problem?

Hi,
I found the reason why it's differet for every training time.
Because I set randomize the parameters true first.
Maybe it's is a stupid question........

Hi,
I just start your jsmile and have a question about EM learning parameters.

My bn have 3 ondes "a", "b" and "c".
There are two arcs, "a" -> "c" and "b" ->"c".
"a" has 3 states, "a0", "a1", "a2".
"b" has 4 states "b0", "b1", "b2", "b3", "b4".
"c" has 2 states "c0", "c1".

The following is the ...

Thank you.
I hope it won't spare you too much time.
I'm not in a hurry.

Thanks for your reply.

I don't know how DBN parameters learning works.
May I expand the dynamic model for required time slice and preprocess the data for the format and then use GeNIe's parameter learning?
For example, if I expand the model to 3 time slice, and the raw data is
" 3 4 2 1 5 6 7 2 4 ...

Hi,
I created a dynamic bayesian network and want to learn the parameters from data(time series). My network contains a hidden node(discrete state), so it's not observable. How can I do this in GeNIe ?
Thanks.

Best Regards,
JohnYu