Doug Lautzenheiser

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What we really want is to compute P(Burglary | Bob called, Claire didn’t) without building the full table. That, in a nutshell, is the problem of inference in Bayesian networks. In many cases we can do this and avoid the exponential blowup.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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