Aprendizaje supervisado de funciones de distancia: estado del arte
The selection of a suitable distance function is fundamental to the instance-based learning algorithms. Such distance function influences the success or failure of these algorithms. Recently it has been shown that even a simple linear transformation of the input attributes can lead to significant im...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad de Ciencias Informáticas
2015-04-01
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| Series: | Revista Cubana de Ciencias Informáticas |
| Subjects: | |
| Online Access: | https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=1014&path[]=338 |