Interval discriminant analysis using support vector machines

ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 223-228

  Angulo, Cecilio ^a   Anguita, Davide ^b   González, Luis ^c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b UNIVERSITY OF GENOA   (Italy)

^c UNIVERSITY OF SEVILLE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

INTERVAL DATA; LEARNING SPEED; LOCAL KERNEL; PRIOR KNOWLEDGE;

DISCRIMINANT ANALYSIS; NEURAL NETWORKS;

SUPPORT VECTOR MACHINES;

EID: 84887009135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. V. Vapnik. Statistical Learning Theory. John Wiley & Sons, New York, 1998.
2. R. E. Moore. Interval Analysis. Prentice-Hall, Englewood Cliffs, 1966.
3. C. Hwang, D.H. Hong, and K.H. Seok. Support vector interval regression machine for crisp input and output data. Fuzzy Sets and Systems, 157(8):1114-1125, 2006.
4. Y. Zhao, Q. Chen, and Q. He. An interval set classification based on support vector machines. In Proc. of ICAS/ICNS 2005, pages 81-86, 2005.
5. C. Angulo, D. Anguita, and L. González. Interval discriminant analysis using support vector machines. Technical report, Technical Univ. Catalonia, June 2006. http://www.epsevg.upc.edu/cecilio/articles/esaiirr0610.pdf.
6. G.M. Fung, O.L. Mangasarian, and J.W. Shavlik. Knowledge-based support vector machine classifiers. In Advances in Neural Information Processing Systems 15, pages 521-528. MIT Press, Cambridge, MA, 2003.