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
Correct Answer:
Verified
Q1: Adaptive system management is
A)it uses machine-learning techniques.
Q3: Algorithm is
A)it uses machine-learning techniques. here program
Q4: Bias is
A)a class of learning algorithm that
Q5: Background knowledge referred to
A)additional acquaintance used by
Q6: Case-based learning is
A)a class of learning algorithm
Q7: Classification is
A)a subdivision of a set of
Q8: Binary attribute are
A)this takes only two values.
Q9: Classification accuracy is
A)a subdivision of a set
Q10: Biotope are
A)this takes only two values. in
Q11: Cluster is
A)group of similar objects that differ
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