An algorithmic theory of learning free
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A general (algorithmic) consequence of the model, that more robust concepts are easier to learn, is supported by a multitude of psychological studies. Keywords Learning.
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.
How can the answer be improved?
simple new algorithms for fundamental learning theory problems, that might be practical. There have been further applications of random projection in learning theory subsequent to this work.
Learning theory is the field in computer science and mathematics that studies all theoretical aspects of machine learning, including its algorithmic and statistical aspects. The AALT organization consists of a steering committee, which includes the current program committee chairs of ALT, as well as other elected members.
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