• (A) A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
• (B) Any mechanism employed by a learning system to constrain the search space of a hypothesis.
• (C) An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
• (D) None of these