Algorithms, Dynamic Programming, Machine Learning, Artificial Intelligence, Markov Models.
latest_path_probabilities[possible_state] = \ max_path_probability path_probabilities.append(latest_path_probabilities) After finishing all T−1 iterations, accounting for the fact the first time step was handled before the loop, we can extract the end state for the most probable path by maximizing