Título de la tesis:
On Problem-Oriented Kernel Refining
Autor/es:
Parrado Hernández, E. - Arenas García, J. - Mora Jiménez, Inma - Navia Vázquez, Angel
Tipo de documento:
Artículo
Universidad:
Universidad Rey Juan Carlos
Departamento:
Idioma:
Castellano
Palabras clave:
Fecha de la defensa:
29-Jul-2009
Notas:
Much attention has been recently devoted to those machine learning procedures known as
kernel methods, the Support Vector Machines being an instance of them. Their performance
heavily depends on the particular 'distance measurement' between patterns, function also known as 'kernel', which represents a dot product in a projection space. Although some attempts are being made to 'a priori' decide which kernel function is more suitable for a problem, no defnite solution for this taskhas been found yet, since choosing the best kernel very often reduces to a
selection among diferent possibi...
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