Consistency

Machine Learning 2026

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Authors: Steven W. Knox
DOI: 10.1002/9781394325313.ch08
Cited by: 0

Abstract

Chapter 8 is about consistency, which addresses whether or not a given supervised learning method converges to an optimal solution as the number of data, n , increases without bound, either for a given problem or for any problem.

Fields of Study & Subjects

Machine Learning and Algorithms Statistical Methods and Inference Stochastic Gradient Optimization Techniques

Publication details

Journal / source
Machine Learning
Pages
187–192
Publication date
22 January 2026
Language
EN