Algorithms, Dynamic Programming, Machine Learning, Artificial Intelligence, Markov Models.
could be transitioning from. This means we need the following events to take place: We need to end at state r at the second-to-last step in the sequence, an event with probability V(t−1, r). We have to transition from some state r into the final state s, an event whose probability is a(r, s). The