The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has ...
(Part two in a series on "statistical bias", "inductive bias", and "cognitive bias".) Suppose that you see a swan for the first time, and it is white.
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What is Inductive Bias? Definition of Inductive Bias: the set of assumptions that an inductive learner makes about the concept being learned.
Inductive bias is the set of assumptions a learner uses to predict results given inputs it has not yet encountered. It’s also the name of this blog.
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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).
CS 478 - Inductive Bias 22 More on Inductive Bias ! Inductive Bias requires some set of prior assumptions about the tasks being considered and the learning