Question: Suppose we face a pattern recognition problem, where the data consists of a single set of pixels X ( where there are 1 2 possible

Suppose we face a pattern recognition problem, where the data consists of a single set
of pixels X (where there are 12 possible pixel patterns), and there are two possible
patterns \theta ,3 and 5. The model is that X has the probability function p(x|\theta )
depending on \theta , given by the following table

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