http://www.cnr.it/ontology/cnr/individuo/prodotto/ID14485
A Classification Method Based on Generalized Eigenvalue Problems (Articolo in rivista)
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- A Classification Method Based on Generalized Eigenvalue Problems (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1080/10556780600883874 (literal)
- Alternative label
Guarracino Mario Rosario (1), Cifarelli Claudio(2), Seref Onur(3), Pardalos Panos(3) (2007)
A Classification Method Based on Generalized Eigenvalue Problems
in Optimization methods & software (Print); TAYLOR & FRANCIS LTD, London (Regno Unito)
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- Guarracino Mario Rosario (1), Cifarelli Claudio(2), Seref Onur(3), Pardalos Panos(3) (literal)
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- (1) High Performance Computing and Networking Institute, National
Research Council, Italy
(2) Department of Statistic, Probability and Applied Statistics,
University of Rome 'La Sapienza', Italy
(3) Center for Applied Optimization, University of Florida,
Gainesville, FL, 32611-6595, USA (literal)
- Titolo
- A Classification Method Based on Generalized Eigenvalue Problems (literal)
- Abstract
- Binary classification refers to supervised techniques that split a set of
points in two classes, with respect to a training set of points whose membership is known for each class. Binary classification plays a central role
in the solution of many scientific, financial, engineering, medical and biological problems. Many methods with good classification accuracy are currently available. This work shows how a binary classification problem can
be expressed in terms of a generalized eigenvalue problem. A new regularization technique is proposed, which gives results that are comparable to
other techniques in use, in terms of classification accuracy. The advantage of this method relies in its lower computational complexity with respect to
the existing techniques based on generalized eigenvalue problems. Finally, the method is compared with other methods using benchmark data sets. (literal)
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