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Which algorithm is used for solving temporal probabilistic reasoning?

(a) Hill-climbing search

(b) Hidden markov model

(c) Depth-first search

(d) Breadth-first search

This question was addressed to me in semester exam.

This intriguing question originated from Hidden Markov Model topic in division Uncertain Knowledge and Reasoning of Artificial Intelligence

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The correct option is (b) Hidden markov model

The best explanation: Hidden Markov model is used for solving temporal probabilistic reasoning that was independent of transition and sensor model.

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