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Entropy Bounds for Restricted Convex Hulls

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Learning Theory and Kernel Machines

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2777))

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Abstract

An unsolved problem of bounding the entropy of a “restricted” convex hull of a set in a Hilbert space is discussed. The problem is related to bounding the generalization error of convex combinations of base classifiers.

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References

  1. van der Vaart, A.W., Wellner, J.: Weak Convergence and Empirical Processes. Springer, New York (1996)

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© 2003 Springer-Verlag Berlin Heidelberg

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Koltchinskii, V. (2003). Entropy Bounds for Restricted Convex Hulls. In: Schölkopf, B., Warmuth, M.K. (eds) Learning Theory and Kernel Machines. Lecture Notes in Computer Science(), vol 2777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45167-9_59

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  • DOI: https://doi.org/10.1007/978-3-540-45167-9_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40720-1

  • Online ISBN: 978-3-540-45167-9

  • eBook Packages: Springer Book Archive

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