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- Algorithmic_learning_theory abstract "Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning theory and algorithmic inductive inference. Algorithmic learning theory is different from statistical learning theory in that it does not make use of statistical assumptions and analysis. Both algorithmic and statistical learning theory are concerned with machine learning and can thus be viewed as branches of computational learning theory.".
- Algorithmic_learning_theory wikiPageExternalLink learning-formal.
- Algorithmic_learning_theory wikiPageExternalLink www.learningtheory.org.
- Algorithmic_learning_theory wikiPageID "383480".
- Algorithmic_learning_theory wikiPageRevisionID "593887386".
- Algorithmic_learning_theory date "November 2013".
- Algorithmic_learning_theory hasPhotoCollection Algorithmic_learning_theory.
- Algorithmic_learning_theory reason "Gold introduces a methode called 'identification by enumeration' , but he didn't claim that each language 'defined by a Turing machine program can be learned' by that method, or by any other. Such a result would contradict the unlearnability result stated in the next section of this article.".
- Algorithmic_learning_theory reason "The problem Gold investigated is not about learning a language, but about learning a language class. For example, it is trivial to learn an infinite language L from a class consisting of L only.) Gold's result meant here is probably that of his Theorem I.8 . The paragraph should be repharsed accordingly.".
- Algorithmic_learning_theory subject Category:Computational_learning_theory.
- Algorithmic_learning_theory subject Category:Formal_languages.
- Algorithmic_learning_theory subject Category:Learning_theory_(education).
- Algorithmic_learning_theory comment "Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning theory and algorithmic inductive inference. Algorithmic learning theory is different from statistical learning theory in that it does not make use of statistical assumptions and analysis. Both algorithmic and statistical learning theory are concerned with machine learning and can thus be viewed as branches of computational learning theory.".
- Algorithmic_learning_theory label "Algorithmic learning theory".
- Algorithmic_learning_theory sameAs m.021x93.
- Algorithmic_learning_theory sameAs Q4724364.
- Algorithmic_learning_theory sameAs Q4724364.
- Algorithmic_learning_theory wasDerivedFrom Algorithmic_learning_theory?oldid=593887386.
- Algorithmic_learning_theory isPrimaryTopicOf Algorithmic_learning_theory.