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Local entropy in learning theory
Matematičeskie zametki, Tome 80 (2006) no. 6, pp. 946-949 Cet article a éte moissonné depuis la source Math-Net.Ru

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     author = {Yu. V. Malykhin},
     title = {Local entropy in learning theory},
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Yu. V. Malykhin. Local entropy in learning theory. Matematičeskie zametki, Tome 80 (2006) no. 6, pp. 946-949. http://geodesic.mathdoc.fr/item/MZM_2006_80_6_a14/

[1] R. DeVore, G. Kerkyacharian, D. Picard, V. Temlyakov, “Mathematical methods for supervised learning”, IMI Preprints, 22, 2004, 51 pp.

[2] Y. Yang, A. Barron, Ann. of Statist., 27:5 (1999), 1564–1599 | DOI | MR | Zbl

[3] V. Temlyakov, “Approximation in learning theory”, IMI Preprints, 5, 2005, 44 pp.

[4] V. Temlyakov, “Optimal estimators in learning theory”, IMI Preprints, 23, 2004, 29 pp.