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How SVMs can estimate quantiles and the median
Andreas Christmann · Ingo Steinwart
Abstract:
We investigate kernel-based quantile regression based on the pinball loss and support vector regression based on the eps-insensitive loss. Conditions are given which quarantee that the set of exact minimizers contains only one function. Some results about oracle inequalities and learning rates of these methods are presented.
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