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Soft and hard classification by reproducing kernel Hilbert space methods

Reproducing kernel Hilbert space (RKHS) methods provide a unified context for solving a wide variety of statistical modelling and function estimation problems. We consider two such problems: We are given a training set {y(i), t(i), i = 1, … , n}, where y(i) is the response for the ith subject, and t...

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Hlavní autor: Wahba, Grace
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2002
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC139177/
https://ncbi.nlm.nih.gov/pubmed/12477931
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.242574899
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