Re: Markov models
Hidden Markov models assume the system being modeled is a Markov process - i.e., it is stateless.
They use collected data to figure out how likely you are to go from A to B, C, or D but ignore the path you took to reach A. The probability of transitioning from A to B is the same regardless of whether you transitioned to A from C or from D. That is the "history" being referenced.
Biting the hand that feeds IT
