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pretend the graph has no loops and just keep propagating probabilities back and forth until they converge. This is known as loopy belief propagation, both because it works on graphs with loops and because it’s a crazy idea. Surprisingly, it turns out to work quite well in many cases. For instance, it’s a state-of-the art method for wireless communication, with the random variables being the bits in the message, encoded in a clever way.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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