Learning a Kernel Matrix Using Some Similar and Dissimilar pairs
A lot of machine learning algorithms are based on metric functions, which good functions lead to better results. D istance metric learning has been widely attracted by researchers in last decade. Kernel matrix is somehow a distance function which indicates the similarity between two instances in the...
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| Publicado en: | International Journal of Combinatorial Optimization Problems and Informatics |
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| Autor Principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
International Journal of Combinatorial Optimization Problems and Informatics
2014
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| Assuntos: | |
| Acceso en liña: | https://www.redalyc.org/articulo.oa?id=265232976003 |
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