BayesFusion Support Forum

Thank you.

I mean the data set is too large to re-order it. beside i couldn't understand how to deal with the time series dialog that shows up when I choose parameter learning.
I would be grateful for your answer.

I dont know the structure of the DBN. but when I refer to the reference [hul,2006]. I understand that parameter learning is done to DBN after we finish BN structure learning then manually make DBN, then we have parameter learning (Genie can do DBN parameter learning from dataset ) . so I could find ...

hello; thank you for your helpful answers. to learn parameters there exist special format for variables to represent time (as it is shown in smile tutorials ) A A_0 A_1 B B_0 B_1 C C_0 C_1 t t t t t t t t t t f f t f f t f f what if we have 200 sample in each sample we have 20 events for example(fro...

thank you for your replay;
the problem was with windows 8 it self; I have run Genie on window 7 32bit Virtual machine. and it works very well.

Hello, I have downloaded latest Genie. i'm running it on win 8. I have read in the OS that it is probably work on win8 64bit, with 4GB RAM. it is crashes even i'm just learning on it. no complex network. it gives the message that genie asks for termination. I've ran Genie as admin it didn't work . I...

thank you

hello ^_^ according to my understanding; for creating Dynamic Bayesian Netwok DBN, we first create BN then create DBN. in my case learn from data set . my question in prameter learning should we begin with BN first then DBN . or when we finish the Netwrok learning in this case DBN we make parameter ...

hello!
when learn new network from data set( which is 4827 data row)using bayesian search what is the the meaning of sample size is it 4827 trial as well (the same as the data row)?

Hello!
if we use algorithm say x for learning baysian network then should we use algorithm say y for inference or it doesn't matter . my point is there dependency between learning algorithm and bayesian algorithm? or if we use algorithm x for parameter learning and algorithm y for structure learning?

[quote I am wildly guessing now but is your problem perhaps that you have discrete but numerical variables with outcomes like 0, 1, 2, etc? ][/quote] Yes they are discrete numerical value. to make things clear. in my research we are working withe sentenes. each sentence has words and each word has f...

the variables i'm using for network learning are discrete random variables. when dataset is loaded into genie we first have to discretize it and choose the quantile like 2q,4q....etc. but it is already discrete.
so what is the benefit?

Hello; thank you for answering my questions, although sometimes it seems trivial.but i'm beginner. I want to use Dynamic Bayesian network.to learn and inference in natural language processing. the dataset is a set of sentences each sentence has set of words.sentence are the experiments, words are th...

thank you

2. when we finish Dyanmic bayesian network and parameters are ready:how to extract the rules(predictions)? according to what I learned from the tutorials. to know the values of variables 1.choose value for one node 2. see what other values for each node will be for example :a,b,c nodes a=x then b =...