4 relations: Computational learning theory, Concept class, Probably approximately correct learning, Structural risk minimization.
Computational learning theory
In computer science, computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design and analysis of machine learning algorithms.
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Concept class
A concept over a domain X is a total Boolean function over X. A concept class is a class of concepts.
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Probably approximately correct learning
In computational learning theory, probably approximately correct learning (PAC learning) is a framework for mathematical analysis of machine learning.
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Structural risk minimization
Structural risk minimization (SRM) is an inductive principle of use in machine learning.
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