Question: Propose an algorithm that accepts a sequence of labeled training examples and outputs a hypothesis h H that is consistent with all the training

Propose an algorithm that accepts a sequence of labeled training examples and outputs a hypothesis h ∈ H that is consistent with all the training examples, if one exists. If there are no consistent hypotheses, your algorithm should indicate as such and halt

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