Inductive bias - Wikipedia

The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs of given inputs that it has not encountered.[1] Inductive bias is anything which makes the algorithm learn one pattern instead of another pattern (e.g. step-functions in decision trees instead of continuous function in a linear regression model). Learning is the process of apprehending useful knowledge by observing and interacting with the world.[2] It involves searching a space of solutions for one expected to provide a better explanation of the data or to achieve higher rewards. But in many cases, there are multiple solutions which are equally good.[3] An inductive bias allows a learning algorithm to prioritize one solution (or interpretation) over another, independent of the observed data.[4]

Inductive bias - Wikipedia Jump to content From Wikipedia, the free encyclopedia Assumptions for inference in machine learning This article needs more citations . Please help improve this article by adding citations to reliable sources . Unsourced material may be challenged and removed . Find sources: "Inductive bias" – news · newspapers · books · scholar · JSTOR ( December 2025 ) ( Learn how and when to remove this message ) The inductive bias (also known as learning bias ) of a learning algorithm is the set of assumptions that the learner uses to predict outputs of given inputs that it has n

related reading

• A Course in Machine Learningciml.info
• Solomonoff's theory of inductive inference - Wikipediaen.wikipedia.org
• An Intuitive Explanation of Solomonoff Induction — LessWronglesswrong.com
• The Problem of Induction and Machine Learning | Vaden Masranivmasrani.github.io
• 16831_lecture09_beckart.pdfcs.cmu.edu
• deeplearningbook.org/contents/ml.htmldeeplearningbook.org
• understanding-machine-learning-theory-algorithms.pdfcs.huji.ac.il
• How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blogai.stanford.edu
• [2304.05366] The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learningarxiv.org
• 6.036_notes.pdfphillipi.github.io
• Kearns-Vairani-1994-Introduction-to-Computational-Learning-Thoery-Ch01.pdfjeffreyheinz.net
• Knowing About Biases Can Hurt People — LessWronglesswrong.com