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In probabilistic reasoning for AI, what does the term posterior probability refer to?a)The probability of an event occurring in the future.b)The probability of an event occurring before any evidence is observed.c)The probability of an event occurring given the observed evidence.d)The probability of an event occurring in the absence of any evidence.

Question

In probabilistic reasoning for AI, what does the term posterior probability refer to?a)The probability of an event occurring in the future.b)The probability of an event occurring before any evidence is observed.c)The probability of an event occurring given the observed evidence.d)The probability of an event occurring in the absence of any evidence.

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Solution

The term "posterior probability" in probabilistic reasoning for AI refers to c) The probability of an event occurring given the observed evidence. This is a concept from Bayes' theorem and it represents the revised or updated probability of an event occurring after new data or evidence has been taken into account.

Similar Questions

In the context of Bayes' formula, what does the term "prior" represent?Group of answer choicesThe initial probability of an event before considering new data.A variable that can take on different values in a probabilistic model.The probability of observing the data given the event.The updated probability of an event after considering new data.

What is the fundamental concept behind Bayes' Theorem? a. It determines the likelihood of observing rare events in a dataset. b. It estimates the conditional probability of an event given prior knowledge. c. It updates the probability of a hypothesis based on new evidence. d. It calculates the joint probability of two events occurring together.

True or false: Probability is a measure of the likelihood an event will occur.

posterior probability

What is a probability?1 pointThe proportion of times that something will occur in the long run.An uncertainty.A P-value.The number of times that something occurs in an experiment.

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