Statistical Learning Theory, Capacity and Complexity

Schölkopf, B

doi:10.1002/cplx.10094

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Statistical Learning Theory, Capacity and Complexity

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Schölkopf, B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://onlinelibrary.wiley.com/doi/epdf/10.1002/cplx.10094
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Schölkopf, B. (2003). Statistical Learning Theory, Capacity and Complexity. Complexity, 8(4), 87-94. doi:10.1002/cplx.10094.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-DC18-E

Abstract

We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.