Combining the prediction power of Hidden Markov Model (HMM) and Bayesian Networks (BN)
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I have a prediction and its likelihood coming out from Hidden Markov Model (HMM). also I have a Bayesian Network (BN) which predicts the same, but based on different inputs. How to use these two and get a more robust prediction?
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