Bayesian classifiers is____________
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

Question

Quizplus · Accepted Answer

Bayesian classifiers are based on Bayes' theorem and are used in machine learning for the classification of examples by calculating the probability that the examples belong to a particular class. This approach is inherently probabilistic, aiming to find the optimal classification by leveraging statistical methods.

Bayesian Classifiers Is____________