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We consider biorthogonal systems of functions on the interval [0,1] or 𝕋 which have the same dyadic scaled estimates as wavelets. We present properties and examples of these systems.
We study the universal estimator for the regression problem in learning theory considered by Binev et al. This new approach allows us to improve their results.
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