A value theory of meta-learning algorithms

AAAI, pp. 1904-1905, 2006.

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Abstract:

We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more general problem that consists of allocating knowledge consumers to learning producers. Solving this general problem in the field of meta-learning yields solutions fo...More

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