Note on universal algorithms for learning theory
classification
🧮 math.ST
stat.TH
keywords
learningtheoryuniversalalgorithmsconstantfunctionspartpiecewise
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We propose the general way of study the universal estimator for the regression problem in learning theory considered in "Universal algorithms for learning theory Part I: piecewise constant functions" and "Universal algorithms for learning theory Part II: piecewise constant functions" written by Binev, P., Cohen, A., Dahmen, W., DeVore, R., Temlyakov, V. This new approch allows us to improve results.
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