Nature-inspiration on kernel machines: Data mining for continuous and discrete variables

Francisco J. Ruiz, Cecilio Angulo, Núria Agell

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

Kernel Machines, like Support Vector Machines, have been frequently used, with considerable success, in situations in which the input variables are given by real values. Furthermore, the nature of this machine learning algorithm allows esxtending its applications to deal with other kinds of systems with no vectorial information such as facial images, hand written texts, micro-array gene expressions, or protein chains. The behavior of a number of systems could be better explained if artificial infinite-precision variables were replaced by qualitative variables. Hence, the use of ordinal or interval scales on input variables would allow kernels to be defined for nature-inspired systems directly. In this contribution, two new kernels are designed for applying kernel machines to such systems described by qualitative variables (orders of magnitude or intervals). In addition, the structure of the feature space induced by this kernel is also analyzed.

Idioma originalAnglès
Títol de la publicacióKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
EditorSpringer Verlag
Pàgines425-432
Nombre de pàgines8
ISBN (imprès)3540465375, 9783540465379
DOIs
Estat de la publicacióPublicada - 2006
Publicat externament
Esdeveniment10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Durada: 9 d’oct. 200611 d’oct. 2006

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum4252 LNAI - II
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
País/TerritoriUnited Kingdom
CiutatBournemouth
Període9/10/0611/10/06

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