Lesson plan
Characteristic samples
Characteristic samples is a concept in the field of grammatical inference, related to passive learning. In passive learning, an inference algorithm I is given a set of pairs of strings and labels S , and returns a representation R that is consistent with S . Characteristic samples consider the scenario when the goal is not only finding a representation consistent with S , but finding a representation that recognizes a specific target language. A characteristic sample of language L is a set of pairs of the form (s, l(s)) where: # l(s) = 1 if and only if s\in L # l(s) = -1 if and only if s\notin L Given the characteristic sample S , I 's output on it is a representation R , e.g. an automaton, that recognizes L .
Article summary
Characteristic samples is a concept in the field of grammatical inference, related to passive learning. In passive learning, an inference algorithm I is given a set of pairs of strings and labels S , and returns a representation R that is consistent with S . Characteristic samples consider the scenario when the goal is not only finding a representation consistent with S , but finding a representation that recognizes a specific target language. A characteristic sample of language L is a set of pairs of the form (s, l(s)) where: # l(s) = 1 if and only if s\in L # l(s) = -1 if and only if s\notin L Given the characteristic sample S , I 's output on it is a representation R , e.g. an automaton, that recognizes L .
Key claims
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.