Write an algorithm called find-g to nd a maximally-general


Concept Learning

(a) Write an algorithm called \Find-G" to nd a maximally-general consistent hypothesis. You can assume the data will be noise-free and that the target concept is in the hypothesis space.

(b) Outline the steps in a proof that Find-G will never fail to cover a positive example in the training set.

 

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