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Multiobjective Optimization for Model Selection in Kernel Methods in Regression
Regression plays a major role in many scientific and engineering problems. The goal of regression is to learn the unknown underlying function from a set of sample vectors with known outcomes. In recent years, kernel methods in regression have facilitated the estimation of nonlinear functions. Howeve...
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| Publicat a: | IEEE Trans Neural Netw Learn Syst |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4841500/ https://ncbi.nlm.nih.gov/pubmed/25291740 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNNLS.2013.2297686 |
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