Search found 4 matches
- Tue Oct 27, 2015 7:38 am
- Forum: GeNIe
- Topic: Virtual Evidence for Validation/Testing
- Replies: 1
- Views: 3233
Virtual Evidence for Validation/Testing
Is it possible to add virtual evidence to a variable by assigning this evidence into a test dataset and give this as input at the validation or testing process? Also is it possible to learn the parameters by assigning probability distributions as values to the variables in the training dataset input...
- Wed Oct 08, 2014 4:31 am
- Forum: GeNIe
- Topic: DBN Learning parameters in a non unrolled network
- Replies: 0
- Views: 22742
DBN Learning parameters in a non unrolled network
What is the difference in learning the parameters for DBN in an unrolled and in a non-unrolled network? Does the process of learning the parameters in a non-unrolled network use the records from all time slices included in the dataset, and if so how are they combined? For example assuming three time...
- Thu Jun 05, 2014 6:35 am
- Forum: GeNIe
- Topic: Validation methods in GeNIe
- Replies: 5
- Views: 6427
Re: Validation methods in GeNIe
One last question, how can I use cross validation to evaluate a DBN prognostic model? Let the DBN has 5 variables: [A,B,C,D,E] and it is unrolled for 3 time slices [t0, t1, t2] and the goal is to predict the class value at t=2 (last time slice) e.g. E_2, given all the observations up to t=1 [A_0,A_1...
- Fri Jan 31, 2014 8:58 pm
- Forum: GeNIe
- Topic: Validation methods in GeNIe
- Replies: 5
- Views: 6427
Validation methods in GeNIe
Hi, I used validation for DBN in Genie but I am not sure how the output prediction probabilities are computed. For example, is leave-one-out method repeated N times (where N is the data size) using N-1 records for training and leave one record for testing (leaving a different record out on each repe...