I was studying this article about Hidden Markov Model. The article introduced two diagrams at the outset.
(1) Given what I had for dinner last night, the probability of what I will have tonight.
(2) Given what I had for dinner that night, the probability that it will lead to finding either a plastic bowl or some tin foil wrapper in my trash.
What I understand is, (1) is a transition model of a Markov Model of the person's food items.
I have the following questions:
t the number of generations/steps?
(b) Is diagram (2) a
Markov Model or
Hidden Markov Model?
(c) Is the aim of an HMM to find (1) from (2)?
Evaluation means finding probabilities of a specific sequence of states from previously known information using HMM, and,
Decoding means constructing a specific sequence of states from previously known information using HMM.
Then, what does
(e) HMM itself doesn't give us any result/value, it just helps us to model a scenario. We have to apply algorithms to HMM to obtain results/values. Am I correct?