temporal-probabilistic-f10

temporal-probabilistic-f10 - Temporal Probabilistic Models...

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Temporal Probabilistic Models
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Temporal (Sequential) Process A temporal process is the evolution of system state over time Often the system state is hidden, and we need to reconstruct the state from the observations Relation to Planning: When you are observing a temporal process, you are observing the execution trace of someone else’s plan…
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State Estimation… In non-deterministic scenarios, observation from a state had to be certain I.e., P(o|s) must be either 0 or 1. Saying “state s may give observation o doesn’t make sense since there is no way of exploiting that information. In stochastic scenarios, P(o|s) can be a number between 0 and 1, and this makes for pretty interesting reasoning opportunities. .
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Stationarity assumption over time is akin to “relational” assumption over objects
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Dynamic Bayes Networks are “templates” for specifying the relation between the values of a random variable across time-slices e.g. How is Rain at time t related to Rain at time t+1?
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temporal-probabilistic-f10 - Temporal Probabilistic Models...

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