Algorithms, Dynamic Programming, Machine Learning, Artificial Intelligence, Markov Models.
so, at any given time, the probability of the next state is only determined by the current state, not the full history of the system. This is the “Markov” part of HMMs. The third parameter is set up so that, at any given time, the current observation only depends on the current state, again not on