A fixed-center spherical separation algorithm with kernel transformations for classification problems
Tóm tắt
Từ khóa
Tài liệu tham khảo
Astorino A, Gaudioso M (2002) Polyhedral separability through successive LP. J OptimTheory Appl 112(2):265–293
Astorino A, Gaudioso M (2005) Ellipsoidal separation for classification problems. Optim Methods Softw 20(2–3):261–270
Bennett KP, Mangasarian OL (1992) Robust linear programming discrimination of two linearly inseparable sets. Optim Methods Softw 1:23–34
Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge
Fung G, Mangasarian OL (2001) Proximal support vector machine classifiers, PDF version data mining institute technical report 01–02, February 2001—Proceedings KDD-2001, San Francisco August 26–29, 2001—Association for Computing Machinery, New York, pp 77–86
Joachims T (1999). Making large-scale support vector machine learning practical. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in kernel methods: support vector learning. MIT, Cambridge, pp 169–184
Mangasarian OL (1965) Linear and nonlinear separation of patterns by linear programming. Oper Res 13:444–452
Murphy PM, Aha DW (1992) UCI repository of machine learning databases, http://www.ics.uci.edu/~mlearn/MLRepository.html
Odewahn S, Stockwell E, Pennington R, Humphreys R, Zumach W (1992) Automated star/galaxy discrimination with neural networks. Astron J 103(1):318–331
Schölkopf B, Burges CJC, Smola AJ (eds) (1999) Advances in kernel methods: support vector learning. MIT, Cambridge
Tax DMJ, Duin RPW (1999) Data domain description using support vectors. In: ESANN’1999 proceedings Bruges (Belgium), 21–23 April 1999, D-Facto public, ISBN 2-600049-9-x, pp 251–256