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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

Select the correct answer from above options

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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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