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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...
Uloženo v:
| Hlavní autor: | |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
National Academy of Sciences
2002
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| 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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