The hierarchical N-Gram predictor works almost exactly like its predecessor, the difference being that it holds a set of predictors and computes each main function using its children. Each method works by decomposing the set of available actions, and, whether by registering sequences or finding out the most likely future action, each method works by decomposing the set of actions and feeding the children with them.
How it works...
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