Search found 7 matches
- Tue Jan 11, 2022 2:24 am
- Forum: GeNIe
- Topic: learn parameters with EM
- Replies: 3
- Views: 1660
Re: learn parameters with EM
Hi Heyifan, What you wrote is essentially correct, although the mechanics of this is somewhat more sophisticated than reducing the existing parameters to 100 records. If we did that, there would be a chance of never having records for some combination of values of parent nodes. The way it is implem...
- Sat Jan 08, 2022 8:19 am
- Forum: GeNIe
- Topic: learn parameters with EM
- Replies: 3
- Views: 1660
learn parameters with EM
The structure of the network has been defined and conditional probability table have been elicited from an expert. I want to use the new data set as an additional source of information over the existing network. How does 'Keep original' option works? From my point of view, if I set 'Confidence' to b...
- Tue Dec 21, 2021 2:46 am
- Forum: GeNIe
- Topic: learning parameter with missing values
- Replies: 3
- Views: 1929
Re: learning parameter with missing values
Hi HeyFan, Uniform distributions are as good as (or as bad as) a randomly chosen starting point and you should not view them as the best! To the contrary, it often leads to worse convergence. If you are worried about different convergence points, I suggest that you try a few randomizations and comp...
- Sun Nov 28, 2021 7:09 am
- Forum: GeNIe
- Topic: learning parameter with missing values
- Replies: 3
- Views: 1929
learning parameter with missing values
I learnt that it is better to use 'Randomize' option when learning parameter with missing values. The problem is that using different random seeds leads to different learning results. How should I know which one is the optimized learning results? Maybe it is due to the size of training dataset is to...
- Fri Apr 30, 2021 2:05 am
- Forum: GeNIe
- Topic: Learning Parameter algorithm
- Replies: 5
- Views: 3004
Re: Learning Parameter algorithm
The results should be valid, although a variable with just one state is just a constant, which carries no information. Constants are not allowed in structure learning but they will be accepted in parameter learning. The result of learning will be a large probability for the state represented in the...
- Sun Apr 25, 2021 1:48 am
- Forum: GeNIe
- Topic: Learning Parameter algorithm
- Replies: 5
- Views: 3004
Re: Learning Parameter algorithm
Thanks! If I delete the node which only has one state, the CPT of other nodes learning by dataset won't be affected, right?
- Tue Apr 13, 2021 3:32 am
- Forum: GeNIe
- Topic: Learning Parameter algorithm
- Replies: 5
- Views: 3004
Learning Parameter algorithm
I have constructed the structure of BN and have a dataset to learn the CPT. The dataset contains 90 records with states of 9 binary variables. The problem is that one of the nine varibles has only one state in all records. Will the parameter learning result still be valid? Thanks a lot if someone co...