Discussion
What does filtering compute in a temporal probabilistic model?
Answer: B
Filtering maintains a belief over the present state, updating it as each observation arrives, and is what a tracking system does continuously. Smoothing looks backwards, prediction looks forwards, and the most likely sequence is the different problem the Viterbi algorithm solves. Naming the four temporal inference tasks separately matters because each has its own algorithm and its own cost.
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