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 learning.
thank you for giving time to answer .
dbn prameter learning
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Re: dbn prameter learning
Do you know the structure of your DBN, or want to learn it from the data?
Re: dbn prameter learning
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 the answer;
thank you very much
so I could find the answer;
thank you very much