BayesFusion Support Forum

Ok Mark

Thank You very much

JAM

That limit values have confidence, when running the algorithm EM?

Thanks

Hello

I would like to know is that limits the level of confidence that has the EM algorithm to learn parameters for the Bayesian network.

Thank you

For the proper functioning of the EM algorithm is better to have the network built or just simply take the nodes and then create a network?

Thanks

JAM

Thanks Shooltz

That I'm looking for is information EM algorithm and its operation in genie, as the link you send does not clarify the parameters of the operation or algorithm.

JAM

Could give me a link to more talk of EM algorithm, or any pdf.

Thanks.

JAM

I can give more information about the EM algorithm.

Thanks again for your help has been invaluable

Ok no problem.

Sending the table with varables and the different possibilities that genie offers for the construction of the network.

The idea is that the nodes called Female_per, Total_7_pe, Women_per, Shan_Ethni; should be directed to the node called Off_Alw_Fo without nodes that name at the ...

The parameter naive doing everything contrary to what we wish to undertake, and i do not understand why.

Thankyou

ATT JAm

Simple is a method that does not require basic knowledge, the interesting thing the network is totally contrary to the desire to validate.

On the oder hand, , in the help of genie appears one thing, in my software appears otherwise, I would like to know why. Additions a document

I want to know that other options exist apart from the background knowledge and parameter naive to build my network without the Genie randomization

The method used and the naive but not as prohibit between nodes with this method, and the method pc at the time to ban these conditions appear as a union between nodes, or other wing genie takes random and it is here where I have problems that No other option is to take pra build the network that ...

I have tried to build a Bayesian network from a database, apparently genie takes the data and unites them at random without being able to make some sort of constraint for the construction that one wishes, and tried with all methods from the naive to pc, which is required prior knowledge and ...