Formal languages | Computational learning theory

Language identification in the limit

Language identification in the limit is a formal model for inductive inference of formal languages, mainly by computers (see machine learning and induction of regular languages). It was introduced by E. Mark Gold in a technical report and a journal article with the same title. In this model, a teacher provides to a learner some presentation (i.e. a sequence of strings) of some formal language. The learning is seen as an infinite process. Each time the learner reads an element of the presentation, it should provide a representation (e.g. a formal grammar) for the language. Gold defines that a learner can identify in the limit a class of languages if, given any presentation of any language in the class, the learner will produce only a finite number of wrong representations, and then stick with the correct representation. However, the learner need not be able to announce its correctness; and the teacher might present a counterexample to any representation arbitrarily long after. Gold defined two types of presentations: * Text (positive information): an enumeration of all strings the language consists of. * Complete presentation (positive and negative information): an enumeration of all possible strings, each with a label indicating if the string belongs to the language or not. (Wikipedia).

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From playlist British English idioms and the origin of words and expressions

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From playlist Evaluate Limits with Trig

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From playlist Introduction to Linguistics

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From playlist What is Language?

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From playlist AI & NLP Webinars

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This video explains how to find a limit of a function of two variables. Site: http://mathispower4u.com

From playlist Limits of Functions of Two Variables

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From playlist Applied Linguistics

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From playlist Machine Learning for Physics and the Physics of Learning 2019

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Using trig limits to evaluate the limit

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Determine the left and right hand limits using infinity of a function

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Related pages

Probably approximately correct learning | Context-sensitive language | Recursive language | Regular expression | Formal grammar | Regular language | Pattern language (formal languages) | Context-free language | Formal language | Induction of regular languages | String (computer science)