Note on universal algorithms for
learning theory
Applicationes Mathematicae, Tome 34 (2007) no. 1, pp. 47-52
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
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.
Keywords:
study universal estimator regression problem learning theory considered binev approach allows improve their results
Affiliations des auteurs :
Karol Dziedziul 1 ; Barbara Wolnik 2
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author = {Karol Dziedziul and Barbara Wolnik},
title = {Note on universal algorithms for
learning theory},
journal = {Applicationes Mathematicae},
pages = {47--52},
publisher = {mathdoc},
volume = {34},
number = {1},
year = {2007},
doi = {10.4064/am34-1-5},
language = {en},
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TY - JOUR AU - Karol Dziedziul AU - Barbara Wolnik TI - Note on universal algorithms for learning theory JO - Applicationes Mathematicae PY - 2007 SP - 47 EP - 52 VL - 34 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/articles/10.4064/am34-1-5/ DO - 10.4064/am34-1-5 LA - en ID - 10_4064_am34_1_5 ER -
Karol Dziedziul; Barbara Wolnik. Note on universal algorithms for learning theory. Applicationes Mathematicae, Tome 34 (2007) no. 1, pp. 47-52. doi: 10.4064/am34-1-5
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