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Kernel Optimization in Discriminant Analysis
Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separable problem to a space of intrinsically larger dimensionality where the classes are linearly separable. A major problem in t...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3149884/ https://ncbi.nlm.nih.gov/pubmed/20820072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2010.173 |
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