Abstract
In this work, we refined the statistical analysis for both the histogram rule and localized SVMs. The analysis relied on a simple splitting technique of the input space, which splits the input space in a part in which cells are located close to the decision boundary and in a part in which the cells are sufficiently bounded away from it. This separation was described by a parameter s > 0 and we examined the excess risks on both parts separately.
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Blaschzyk, I.K. (2020). Discussion. In: Improved Classification Rates for Localized Algorithms under Margin Conditions. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-29591-2_5
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DOI: https://doi.org/10.1007/978-3-658-29591-2_5
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Online ISBN: 978-3-658-29591-2
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