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Learning via variably scaled kernels
We investigate the use of the so-called variably scaled kernels (VSKs) for learning tasks, with a particular focus on support vector machine (SVM) classifiers and kernel regression networks (KRNs). Concerning the kernels used to train the models, under appropriate assumptions, the VSKs turn out to b...
Tallennettuna:
| Julkaisussa: | Adv Comput Math |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer US
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8233636/ https://ncbi.nlm.nih.gov/pubmed/34220169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10444-021-09875-6 |
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