@inproceedings{3c0e72469cfa499f8f483337401c9a8e,
title = "Kernel machines for non-vectorial data",
abstract = "This work presents a short introduction to the main ideas behind the design of specific kernel functions when used by machine learning algorithms, for example support vector machines, in the case that involved patterns are described by non-vectorial information. In particular the interval data case will be analysed as an illustrating example: explicit kernels based on the centre-radius diagram will be formulated for closed bounded intervals in the real line.",
author = "Ruiz, \{F. J.\} and C. Angulo and N. Agell and A. Catal{\`a}",
year = "2007",
doi = "10.1007/978-3-540-73007-1\_31",
language = "English",
isbn = "9783540730064",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "252--259",
booktitle = "Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings",
address = "Germany",
note = "9th International Work-Conference on Artificial Neural Networks, IWANN 2007 ; Conference date: 20-06-2007 Through 22-06-2007",
}