1(a) and how MCMC can answer it. a. How many states does the Markov chain have? b....
Question:
1(a)
and how MCMC can answer it.
a. How many states does the Markov chain have?
b. Calculate the transition matrix Q containing q(y + y') for all y, y'.
c. What does Q~th,e square of the transition matrix, represent?
d. What about Qn as n -t GO?
e. Explain how to do probabilistic inference in Bayesian networks, assuming that Qn is available. Is this a practical way to do inference?
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Related Book For
Artificial Intelligence: A Modern Approach
ISBN: 9780137903955
2nd Edition
Authors: Stuart Russell, Peter Norvig
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