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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. Overview Theoretical results in machine learning m ...
, let ''C'' be a
concept class In computational learning theory in mathematics, a concept over a domain ''X'' is a total Boolean function over ''X''. A concept class is a class of concepts. Concept classes are a subject of computational learning theory. Concept class terminolog ...
over a domain ''X'' and ''c'' be a concept in ''C''. A subset ''S'' of ''X'' is a witness set for ''c'' in ''C'' if ''c''(''S'') verifies ''c'' (i.e., ''c'' is the only consistent concept with respect to ''c''(''S'')). The minimum size of a witness set for ''c'' is called the ''witness size'' or ''specification number'' and is denoted by w_C(c). The value \max\ is called the teaching dimension of ''C''. Computational learning theory {{Compu-AI-stub