Algorithmic learning theory
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.
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Algorithmic inductive inferenceAltCN2 algorithmComputational epistemologyComputational learning theoryE. Mark GoldFinite thicknessFormal epistemologyFormal learning theoryIndex of education articlesInternational Conference on Algorithmic Learning TheoryInternational Workshop on Algorithmic Learning TheoryJian Xin XuLearnabilityLearning theoryList of important publications in computer scienceMachine learning in physicsOutline of machine learningSample exclusion dimensionTerry SejnowskiValentina Harizanov
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Algorithmic learning theory
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.
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A teoria da aprendizagem algor ...... da aprendizagem computacional.
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Algorithmic learning theory is ...... computational learning theory.
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1,002,063,112
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November 2013
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Gold introduces a methode call ...... next section of this article.
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The problem Gold investigated ...... ould be repharsed accordingly.
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A teoria da aprendizagem algor ...... da aprendizagem computacional.
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Algorithmic learning theory is ...... computational learning theory.
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Algorithmic learning theory
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Teoria da aprendizagem algorítmica
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