Support vector machines applied to face recognition
Proceedings of the 1998 conference on Advances in neural information processing systems II
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
K-SVCR. A Multi-class Support Vector Machine
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Multi-Classification by Using Tri-Class SVM
Neural Processing Letters
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
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The ordinal regression problem or ordination have mixed features of both, the classification and the regression problem, so it can be seen as an independent problem class. The particular behaviour of this sort of problem should be explicitly considered by the learning machines working on it. In this paper the ordination problem is fomulated from the viewpoint of a recently defined learning architecture based on support vectors, the K-SVCR learning machine, specially developed to treat with multiple classes. In this study its definition is compared to other existing results in the literature.