About: Learnable function class

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In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the , uniformly over all probability distributions. The concept of learnable classes are closely related to regularization in machine learning, and provides large sample justifications for certain learning algorithms.

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  • In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the , uniformly over all probability distributions. The concept of learnable classes are closely related to regularization in machine learning, and provides large sample justifications for certain learning algorithms. (en)
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  • In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the , uniformly over all probability distributions. The concept of learnable classes are closely related to regularization in machine learning, and provides large sample justifications for certain learning algorithms. (en)
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  • Learnable function class (en)
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