AI, NLP, Machine Learning, Deep Learning, Artificial Intelligence.
weather is rainy. Let’s say this is 0.1. bi(drive) is the probability of observing a drive given that the weather is rainy. Let’s say this is 0.9. Now, suppose we have a sequence of observations: [walk, walk, drive]. Given this sequence, we want to know the most likely sequence of hidden states