Inductive bias
From Lesswrongwiki
The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered
—(Mitchell, 1980), The need for biases in learning generalizations
In Bayesian framework, inductive bias is encoded in the prior distribution.