https://**en.wikipedia.org**/wiki/**Inductive_bias**

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 ...

lesswrong.com/lw/hg/**inductive_bias**

(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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A blog **about artificial intelligence and making the impossible** practical. Menu ... **Inductive bias** is the set of assumptions a learner uses to predict results given ...

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**Inductive bias** is within the scope of WikiProject Robotics, which aims to build a comprehensive and detailed guide to Robotics on **Wikipedia**. If you would like to ...

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www.igi-global.com/dictionary/**inductive-bias**/14186

**What is Inductive Bias**? Definition of **Inductive Bias**: the set of assumptions that an inductive learner makes about the concept being learned.

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**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 latest Tweets from **Inductive Bias** (@**InductiveBias**). Artificial Intelligence, Machine Learning, Computer Vision, and all manner of impossibilities made practical

**psychology.wikia.com**/wiki/**Inductive_bias**

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).

axon.cs.byu.edu/~martinez/classes/478/slides/Bias.pdf

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