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Rรฉnyi entropy generalizes Shannon entropy by measuring uncertainty with a tunable emphasis on common versus rare outcomes.
A Hidden Markov Model (HMM) describes sequences where you cannot see the true state directly, but you can observe outputs generated by those hidden states.